August 2022

Dangerous Cures and the Popular Health Movement

Students are required to respond at least twice to every Discussion Board topic: respond to ONE of the four topics posted by the instructor by Wednesday; and to at least one other student’s response by Sunday. See Course Calendar (underCourse Information button) for dates/details. Discussion 1. Answers must be meaningful and relevant; please do not respond by simply […]

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Describe the development of depicting the human form from Paleolithic art through the arts of Ancient near-East, Ancient Egypt, the Aegean and Greek cultures.

Uncategorized / Victor kean

Describe the development of depicting the human form from Paleolithic art through the arts of Ancient near-East, Ancient Egypt, the Aegean and Greek cultures. Think about how humans are represented and what functions representation of humans have served. Is there in fact a clear “development”? 7. Here is examples for citation. (use only this contents

Describe the development of depicting the human form from Paleolithic art through the arts of Ancient near-East, Ancient Egypt, the Aegean and Greek cultures. Read More »

My assignment requires operating spss and analyzing the data. My university is in Uk so plagiarism needs to be checked via turnitin. I have both spss as well as turnitin. I just need commands, so that i can give the output and i need the written content to be done by the expert. Learning Outcomes On successful completion of this assessment and this module, you will have demonstrated your ability to: 1. Design, explore and evaluate a psychometric scale. 2. Analyse and interpret advanced statistical techniques using appropriate software for statistical analysis (SPSS). Summative Assessment(s) [Graded Assessment(s)] Assessment: Coursework – SPSS Portfolio Assessment Component: Assessment weighting: Length: Assessed module learning outcome(s): 1 100% Q1 – 50% Q2 and Q3 – 50% Q1 = 3,000 words (Not marked after this limit) Q2 & Q3 = 1,000 words (not marked after this limit) No limit for individual questions, but recommend approximately 500 words each 1 & 2 Submission date/time: Provisional feedback released: Completed final work: Thursday 11th August 2022 by 23:59 hrs UK time Completed final work feedback (provisional grade): Monday 5th September 2022, 09:00 UK time. Your work will be marked anonymously: Markers will not be aware of which student has written the work that is being marked. Provisional marks and feedback will have been reviewed by an internal moderator (member of teaching staff who have not been involved with the module). A sample of your marks and feedback will then be reviewed by our external examiner and the ratified mark will be published following the assessment board which will be held in September 2022. Assessment Overview There is one piece of coursework for this module comprising a 4000-word portfolio of statistical tests that address the three questions set below. This portfolio is worth 100% of your module mark. The portfolio must be written in English. You will be presented with three research questions and data sets. For each question you are required to conduct and report the findings of an appropriate analysis of the data provided, in the report style shown during the module. You should screen the data prior to any analyses and routinely report appropriate estimates of effect size and other relevant statistical information where appropriate. You should also include appropriate and clearly expressed predictions. The word limit for the portfolio is 4000 words (maximum) and includes in-text citations, tables and figures. The word could DOES NOT include your title page (including declaration statement), reference list or appendices. There is no 10% variance applied. Words beyond the 4000-word limit will NOT be reviewed for marking. Please note that module staff cannot help you with questions regarding specific exercises in this assessment. This is because a fundamental part of this assessment is for you to be able to identify the statistical analyses that you need to conduct to address the exercise questions, conduct the appropriate analyses, and then write them up in the correct manner. Module staff can support you with more general assessment related questions including general questions about analyses, but not specific questions (e.g., “do I do a regression for question two?”, etc.). ALL of the statistical processes and tests that you are required to conduct have been taught through the individual units on the module. You are not required to learn any additional tests to enable you to complete this portfolio. Portfolio Questions Question 1 You will be provided with a dataset containing responses from women to three quality of life measures. This can be found in the assessment tab on the module pages and is titled “Question 1 – Data set”. Using this dataset, you need to choose the appropriate tests to summarise the scale and then conduct a factor analysis on the data to indicate subscales, which you will name and produce a written report. You should also calculate the reliability and validity of the scale. You should include the following sections: Prediction(s): These should be clearly written and explain what you would predict based upon the description of the research question, including a brief introduction to the topic area. • Results: This section should begin with coverage of data screening. You should then write up the results of the chosen statistical test(s) in the reporting style you will be shown during the relevant unit on the module. • Discussion: There should be a brief (i.e. a few sentences) discussion of the findings of the results in light of the research question. • Appendix (not included in word count): Please include any calculations and all relevant SPSS outputs (e.g. data screening checks, analyses etc.) as appendices. (Please provide an appendix for each question, rather than a single appendix at the end). A researcher wants to measure women’s quality of life. After conducting some focus groups and consultations with experts, the researcher has designed a new measure. They have asked nearly 300 women to complete the new scale along with two established measures: the Short Form Health Survey (SF-36) (Ware & Sherbourne, 1992) and the EQ-5D (EuroQol Group, 1990). Missing values are coded as 99 and 999 in the database. You are asked to help refine the scale by identifying any subscales and by examining its validity and reliability. Using factor analysis, you should provide advice about how many subscales there are and what they appear to measure. Finally, you are asked to recommend any further testing that should be performed in the future to ensure the measure’s psychometric properties. EuroQol Group (1990). EuroQol: a new facility for the measurement of health-related quality of life. Health policy, 16, 199-208. Ware, J.E & Sherbourne, C.D. (1992). The MOS 36-item short-form health survey (SF-36): I. Conceptual framework and item selection. Medical care, 30, 473-483. For Questions 2 and 3, you are presented with research questions and their accompanying data sets. For each question, you are required to conduct and then report the findings of an appropriate analysis of the data provided, in the reporting style shown during the module. You should screen the data prior to any analyses and routinely report appropriate estimates of effect size and other relevant statistical information where appropriate. You should also include appropriate and clearly expressed predictions. For each question, you should include the following sections: • Prediction(s): These should be clearly written and explain what you would predict based upon the description of the research question, including a brief introduction to the research topic. • Results: This section should begin with coverage of data screening (testing assumptions). You should then write up the results of the chosen statistical test(s) in the reporting style you will be shown during the module. • Discussion: There should be a brief (i.e. a few sentences) discussion of the findings of the results in light of the research question. • Appendix (not included in word count): Please include any calculations and all relevant SPSS outputs (e.g. data screening checks, analyses etc.) as appendices. (Please provide an appendix for each question, rather than a single appendix at the end). Question 2 A researcher wanted to examine whether a self-management programme was useful in helping to improve adherence with lipid reduction medication use amongst patients with coronary heart disease. The researcher has asked you to examine: 1) whether the number of training hours on the programme predicts medication adherence, and 2) whether self-efficacy is a significant mediator within this relationship. You have been provided with the following variables: • Adherence score (number of days adhering to medication); • Self-efficacy; • Training hours (number of training hours on the programme); Participant number Gender Adherence score Self-efficacy Training hours 1 Male 9 51 6 2 Female 6 55 6 3 Female 6 56 3 4 Female 4 55 3 5 Male 7 62 5 6 Male 7 63 5 7 Female 8 64 5 8 Male 7 64 4 9 Female 8 73 6 10 Female 9 74 6 11 Male 9 73 5 12 Female 11 76 5 13 Female 12 77 5 14 Male 12 79 6 15 Female 12 88 6 16 Male 13 89 6 17 Female 13 90 6 18 Male 13 93 6 19 Female 13 95 7 20 Female 13 96 7 21 Male 13 98 7 22 Female 13 102 7 23 Female 13 103 7 24 Female 14 111 7 25 Male 14 112 7 26 Male 14 113 7 27 Female 14 114 7 28 Female 15 119 7 29 Female 15 121 7 30 Male 20 85 8 31 Male 22 70 8 32 Female 22 85 8 33 Female 26 74 9 34 Female 25 124 9 35 Female 23 51 9 36 Male 27 124 10 37 Male 21 63 10 38 Male 21 72 10 39 Male 11 79 10 40 Female 4 72 10 41 Male 19 80 10 42 Male 4 84 11 43 Male 13 113 11 44 Female 22 94 14 45 Male 14 123 14 46 Female 25 83 15 47 Male 20 78 11 48 Female 18 90 10 49 Male 23 93 13 50 Male 15 110 12 51 Male 14 114 10 52 Male 10 94 13 53 Male 27 119 14 54 Female 4 79 15 55 Female 5 89 10 56 Male 20 81 12 57 Male 28 117 10 58 Female 22 60 14 59 Female 8 120 14 60 Male 15 111 13 Question 3 Data on the relationship between personality profile and nicotine dependence may help health professionals to design and improve programs for the treatment and prevention of this dependence. A researcher obtains three groups of 20 participants; 1) current smokers; 2) individuals who have given up smoking for more than twelve months; and 3) individuals who have never smoked. In addition to providing their smoking status, participants completed Costa and McCrae’s (1992) NEO Personality Inventory Revised (NEO-PI-R). Do levels of extraversion, agreeableness and neuroticism differ amongst these three groups? Participant number Smoking status Extraversion Agreeableness Neuroticism 1 Current 138 93 85 2 Current 164 120 71 3 Current 142 88 98 4 Current 150 151 94 5 Current 130 86 22 6 Current 146 87 101 7 Current 167 171 25 8 Current 147 111 77 9 Current 168 114 95 10 Current 153 66 104 11 Current 159 85 95 12 Current 142 123 87 13 Current 168 162 94 14 Current 143 135 19 15 Current 139 97 57 16 Current 166 85 100 17 Current 167 68 57 18 Current 134 156 27 19 Current 144 97 75 20 Current 161 65 74 21 Ex-smoker 155 90 105 22 Ex-smoker 138 105 88 23 Ex-smoker 151 108 65 24 Ex-smoker 160 85 120 25 Ex-smoker 132 166 44 26 Ex-smoker 143 94 82 27 Ex-smoker 160 107 52 28 Ex-smoker 124 135 98 29 Ex-smoker 153 93 63 30 Ex-smoker 168 79 106 31 Ex-smoker 123 114 88 32 Ex-smoker 156 75 107 33 Ex-smoker 120 112 89 34 Ex-smoker 102 143 114 35 Ex-smoker 124 56 108 36 Ex-smoker 148 128 112 37 Ex-smoker 107 75 111 38 Ex-smoker 135 57 64 39 Ex-smoker 127 86 59 40 Ex-smoker 129 61 83 41 Never smoked 100 55 109 42 Never smoked 105 83 136 43 Never smoked 117 167 61 44 Never smoked 109 155 120 45 Never smoked 76 108 65 46 Never smoked 114 120 141 47 Never smoked 105 165 116 48 Never smoked 108 111 110 49 Never smoked 98 142 103 50 Never smoked 86 106 67 51 Never smoked 93 129 107 52 Never smoked 100 140 134 53 Never smoked 96 69 51 54 Never smoked 79 89 66 55 Never smoked 72 62 87 56 Never smoked 86 137 52 57 Never smoked 97 134 113 58 Never smoked 118 72 139 59 Never smoked 87 173 116 60 Never smoked 91 75 50 Formative feedback opportunities Formative feedback opportunities are designed to help you with your summative assessment. Formative activities are not assessed and do not contribute to your module mark. These are opportunities for you to apply, practice and make sense of the learning materials and content that you have worked with so that you are competent to apply your learning in your summative assessment. These opportunities will mainly take place during the end of unit activities and in the corresponding discussions on MS Teams. Assessment Rubric Your work will be marked based on the rubric below. Criteria Excellent (70 – 100%) Very Good (60 – 69%) Good/ Satisfactory (50 – 59%) Unsatisfactory (40 – 49%) Poor/Very Poor (1 – 39%) Prediction and analysis Predictions for the questions are clearly written and appropriate and explain what you would predict based upon the description of the research question. Provides predictions for the questions based upon the description of the research question, however there are some minor errors / misunderstandings. Provides predictions for the questions based upon the description of the research question, however there are some errors / misunderstandings. Fails to provide accurate or complete predictions for the questions based upon the description of the research question. Fails to provide predictions for the questions based upon the description of the research question. Data screening Provides insightful descriptions of the data screening process using appropriate psychological terminology. Supported by references where appropriate. Describes the data screening process in detail using appropriate psychological terminology. Describes the data screening process using appropriate psychological terminology. There may be some errors / misunderstandings in reporting. Fails to satisfactorily screen the data for the questions. Fails to screen the data for the questions. Results The correct tests are identified, justified and reported correctly with no errors. All relevant information is included. There is an insightful description of the results using appropriate psychological terminology. Supported by references where appropriate. The correct tests are identified and reported clearly and accurately with minimal errors or missing elements. The results are described in detail using appropriate psychological terminology. The correct tests are identified and reported competently/to a passing standard, but there may be some weaknesses, errors or missing elements. The results are described using appropriate psychological terminology. There may be some errors / misunderstandings in reporting. The correct tests are not identified or expressed to a passing standard and there may be considerable weaknesses, errors or missing elements. The description of the results is unsatisfactory. The correct tests are not identified and the answer is expressed very poorly, with considerable misunderstandings, errors or missing elements. The results are not described. Discussion There is a short discussion of the findings of the results, demonstrating a thorough understanding of what the results can tell us. There is a short discussion of the findings of relevant results. There is a short discussion of the findings of relevant results, however there may be some minor errors or missing information (good). There may also be some evidence of weaknesses, errors or missing elements (satisfactory). The discussion of the findings may be missing most of the information or include many errors. The discussion of the findings is missing. Appendices All relevant calculations and SPSS outputs are included as appendices. Nearly all relevant calculations and SPSS outputs are included as appendices. Most of the relevant calculations and SPSS outputs are included as appendices, but some material may be missing. The relevant calculations and SPSS outputs may be missing from the appendices. The relevant calculations and SPSS outputs are missing from the appendices. Presentation and expression Excellent standard of presentation and expression, with very well structured academic writing. Appropriate psychological language used throughout. Very good standard of presentation and expression, with very well structured academic writing. Consistent use of appropriate psychological language. Good/satisfactory standard of presentation and expression, with generally well-structured/ adequately-structured academic writing. Ability to use appropriate psychological language/terms. Unsatisfactory standard of presentation and expression, with inadequately structured academic writing. Limited ability to use appropriate psychological terms. Poor standard of presentation, expression and academic writing that is not up to postgraduate standard. Inability to use appropriate psychological terms. Useful Links Library: https://www.derby.ac.uk/services/library/ Assessment regulations: https://www.derby.ac.uk/about/organisation/academic-regulations/ (sections F and E). Citing and referencing: https://www.derby.ac.uk/services/library/study-skills/citing-and-referencing/ Study Skills: https://www.derby.ac.uk/services/library/study-skills/ Study Advisor Scheme: https://www.derby.ac.uk/services/library/study-skills/study-advisor-scheme/ Essay Writing: https://www.derby.ac.uk/services/library/study-skills/essay-writing/ Turnitin (video): https://www.youtube.com/watch?v=822ZoLhsNZE IT Service Centre: https://www.derby.ac.uk/services/its/it-services-for-students/help-and-advice/ Personal Development Planning: https://courseresources.derby.ac.uk/bbcswebdav/institution/UDOL/Student%20Portal%20Pages/Personal%20Development%20Planning%20in%20the%20Digital%20Age/Personal%20Development%20Planning%20in%20the%20Digital%20Age_00_00_Welcome.html Cite Them Right: https://www-citethemrightonline-com.ezproxy.derby.ac.uk/

Uncategorized / Victor kean

GET ALL YOUR ACADEMIC HELP AT ESSAYLINK.NET My assignment requires operating spss and analyzing the data. My university is in Uk so plagiarism needs to be checked via turnitin. I have both spss as well as turnitin. I just need commands, so that i can give the output and i need the written content to

My assignment requires operating spss and analyzing the data. My university is in Uk so plagiarism needs to be checked via turnitin. I have both spss as well as turnitin. I just need commands, so that i can give the output and i need the written content to be done by the expert. Learning Outcomes On successful completion of this assessment and this module, you will have demonstrated your ability to: 1. Design, explore and evaluate a psychometric scale. 2. Analyse and interpret advanced statistical techniques using appropriate software for statistical analysis (SPSS). Summative Assessment(s) [Graded Assessment(s)] Assessment: Coursework – SPSS Portfolio Assessment Component: Assessment weighting: Length: Assessed module learning outcome(s): 1 100% Q1 – 50% Q2 and Q3 – 50% Q1 = 3,000 words (Not marked after this limit) Q2 & Q3 = 1,000 words (not marked after this limit) No limit for individual questions, but recommend approximately 500 words each 1 & 2 Submission date/time: Provisional feedback released: Completed final work: Thursday 11th August 2022 by 23:59 hrs UK time Completed final work feedback (provisional grade): Monday 5th September 2022, 09:00 UK time. Your work will be marked anonymously: Markers will not be aware of which student has written the work that is being marked. Provisional marks and feedback will have been reviewed by an internal moderator (member of teaching staff who have not been involved with the module). A sample of your marks and feedback will then be reviewed by our external examiner and the ratified mark will be published following the assessment board which will be held in September 2022. Assessment Overview There is one piece of coursework for this module comprising a 4000-word portfolio of statistical tests that address the three questions set below. This portfolio is worth 100% of your module mark. The portfolio must be written in English. You will be presented with three research questions and data sets. For each question you are required to conduct and report the findings of an appropriate analysis of the data provided, in the report style shown during the module. You should screen the data prior to any analyses and routinely report appropriate estimates of effect size and other relevant statistical information where appropriate. You should also include appropriate and clearly expressed predictions. The word limit for the portfolio is 4000 words (maximum) and includes in-text citations, tables and figures. The word could DOES NOT include your title page (including declaration statement), reference list or appendices. There is no 10% variance applied. Words beyond the 4000-word limit will NOT be reviewed for marking. Please note that module staff cannot help you with questions regarding specific exercises in this assessment. This is because a fundamental part of this assessment is for you to be able to identify the statistical analyses that you need to conduct to address the exercise questions, conduct the appropriate analyses, and then write them up in the correct manner. Module staff can support you with more general assessment related questions including general questions about analyses, but not specific questions (e.g., “do I do a regression for question two?”, etc.). ALL of the statistical processes and tests that you are required to conduct have been taught through the individual units on the module. You are not required to learn any additional tests to enable you to complete this portfolio. Portfolio Questions Question 1 You will be provided with a dataset containing responses from women to three quality of life measures. This can be found in the assessment tab on the module pages and is titled “Question 1 – Data set”. Using this dataset, you need to choose the appropriate tests to summarise the scale and then conduct a factor analysis on the data to indicate subscales, which you will name and produce a written report. You should also calculate the reliability and validity of the scale. You should include the following sections: Prediction(s): These should be clearly written and explain what you would predict based upon the description of the research question, including a brief introduction to the topic area. • Results: This section should begin with coverage of data screening. You should then write up the results of the chosen statistical test(s) in the reporting style you will be shown during the relevant unit on the module. • Discussion: There should be a brief (i.e. a few sentences) discussion of the findings of the results in light of the research question. • Appendix (not included in word count): Please include any calculations and all relevant SPSS outputs (e.g. data screening checks, analyses etc.) as appendices. (Please provide an appendix for each question, rather than a single appendix at the end). A researcher wants to measure women’s quality of life. After conducting some focus groups and consultations with experts, the researcher has designed a new measure. They have asked nearly 300 women to complete the new scale along with two established measures: the Short Form Health Survey (SF-36) (Ware & Sherbourne, 1992) and the EQ-5D (EuroQol Group, 1990). Missing values are coded as 99 and 999 in the database. You are asked to help refine the scale by identifying any subscales and by examining its validity and reliability. Using factor analysis, you should provide advice about how many subscales there are and what they appear to measure. Finally, you are asked to recommend any further testing that should be performed in the future to ensure the measure’s psychometric properties. EuroQol Group (1990). EuroQol: a new facility for the measurement of health-related quality of life. Health policy, 16, 199-208. Ware, J.E & Sherbourne, C.D. (1992). The MOS 36-item short-form health survey (SF-36): I. Conceptual framework and item selection. Medical care, 30, 473-483. For Questions 2 and 3, you are presented with research questions and their accompanying data sets. For each question, you are required to conduct and then report the findings of an appropriate analysis of the data provided, in the reporting style shown during the module. You should screen the data prior to any analyses and routinely report appropriate estimates of effect size and other relevant statistical information where appropriate. You should also include appropriate and clearly expressed predictions. For each question, you should include the following sections: • Prediction(s): These should be clearly written and explain what you would predict based upon the description of the research question, including a brief introduction to the research topic. • Results: This section should begin with coverage of data screening (testing assumptions). You should then write up the results of the chosen statistical test(s) in the reporting style you will be shown during the module. • Discussion: There should be a brief (i.e. a few sentences) discussion of the findings of the results in light of the research question. • Appendix (not included in word count): Please include any calculations and all relevant SPSS outputs (e.g. data screening checks, analyses etc.) as appendices. (Please provide an appendix for each question, rather than a single appendix at the end). Question 2 A researcher wanted to examine whether a self-management programme was useful in helping to improve adherence with lipid reduction medication use amongst patients with coronary heart disease. The researcher has asked you to examine: 1) whether the number of training hours on the programme predicts medication adherence, and 2) whether self-efficacy is a significant mediator within this relationship. You have been provided with the following variables: • Adherence score (number of days adhering to medication); • Self-efficacy; • Training hours (number of training hours on the programme); Participant number Gender Adherence score Self-efficacy Training hours 1 Male 9 51 6 2 Female 6 55 6 3 Female 6 56 3 4 Female 4 55 3 5 Male 7 62 5 6 Male 7 63 5 7 Female 8 64 5 8 Male 7 64 4 9 Female 8 73 6 10 Female 9 74 6 11 Male 9 73 5 12 Female 11 76 5 13 Female 12 77 5 14 Male 12 79 6 15 Female 12 88 6 16 Male 13 89 6 17 Female 13 90 6 18 Male 13 93 6 19 Female 13 95 7 20 Female 13 96 7 21 Male 13 98 7 22 Female 13 102 7 23 Female 13 103 7 24 Female 14 111 7 25 Male 14 112 7 26 Male 14 113 7 27 Female 14 114 7 28 Female 15 119 7 29 Female 15 121 7 30 Male 20 85 8 31 Male 22 70 8 32 Female 22 85 8 33 Female 26 74 9 34 Female 25 124 9 35 Female 23 51 9 36 Male 27 124 10 37 Male 21 63 10 38 Male 21 72 10 39 Male 11 79 10 40 Female 4 72 10 41 Male 19 80 10 42 Male 4 84 11 43 Male 13 113 11 44 Female 22 94 14 45 Male 14 123 14 46 Female 25 83 15 47 Male 20 78 11 48 Female 18 90 10 49 Male 23 93 13 50 Male 15 110 12 51 Male 14 114 10 52 Male 10 94 13 53 Male 27 119 14 54 Female 4 79 15 55 Female 5 89 10 56 Male 20 81 12 57 Male 28 117 10 58 Female 22 60 14 59 Female 8 120 14 60 Male 15 111 13 Question 3 Data on the relationship between personality profile and nicotine dependence may help health professionals to design and improve programs for the treatment and prevention of this dependence. A researcher obtains three groups of 20 participants; 1) current smokers; 2) individuals who have given up smoking for more than twelve months; and 3) individuals who have never smoked. In addition to providing their smoking status, participants completed Costa and McCrae’s (1992) NEO Personality Inventory Revised (NEO-PI-R). Do levels of extraversion, agreeableness and neuroticism differ amongst these three groups? Participant number Smoking status Extraversion Agreeableness Neuroticism 1 Current 138 93 85 2 Current 164 120 71 3 Current 142 88 98 4 Current 150 151 94 5 Current 130 86 22 6 Current 146 87 101 7 Current 167 171 25 8 Current 147 111 77 9 Current 168 114 95 10 Current 153 66 104 11 Current 159 85 95 12 Current 142 123 87 13 Current 168 162 94 14 Current 143 135 19 15 Current 139 97 57 16 Current 166 85 100 17 Current 167 68 57 18 Current 134 156 27 19 Current 144 97 75 20 Current 161 65 74 21 Ex-smoker 155 90 105 22 Ex-smoker 138 105 88 23 Ex-smoker 151 108 65 24 Ex-smoker 160 85 120 25 Ex-smoker 132 166 44 26 Ex-smoker 143 94 82 27 Ex-smoker 160 107 52 28 Ex-smoker 124 135 98 29 Ex-smoker 153 93 63 30 Ex-smoker 168 79 106 31 Ex-smoker 123 114 88 32 Ex-smoker 156 75 107 33 Ex-smoker 120 112 89 34 Ex-smoker 102 143 114 35 Ex-smoker 124 56 108 36 Ex-smoker 148 128 112 37 Ex-smoker 107 75 111 38 Ex-smoker 135 57 64 39 Ex-smoker 127 86 59 40 Ex-smoker 129 61 83 41 Never smoked 100 55 109 42 Never smoked 105 83 136 43 Never smoked 117 167 61 44 Never smoked 109 155 120 45 Never smoked 76 108 65 46 Never smoked 114 120 141 47 Never smoked 105 165 116 48 Never smoked 108 111 110 49 Never smoked 98 142 103 50 Never smoked 86 106 67 51 Never smoked 93 129 107 52 Never smoked 100 140 134 53 Never smoked 96 69 51 54 Never smoked 79 89 66 55 Never smoked 72 62 87 56 Never smoked 86 137 52 57 Never smoked 97 134 113 58 Never smoked 118 72 139 59 Never smoked 87 173 116 60 Never smoked 91 75 50 Formative feedback opportunities Formative feedback opportunities are designed to help you with your summative assessment. Formative activities are not assessed and do not contribute to your module mark. These are opportunities for you to apply, practice and make sense of the learning materials and content that you have worked with so that you are competent to apply your learning in your summative assessment. These opportunities will mainly take place during the end of unit activities and in the corresponding discussions on MS Teams. Assessment Rubric Your work will be marked based on the rubric below. Criteria Excellent (70 – 100%) Very Good (60 – 69%) Good/ Satisfactory (50 – 59%) Unsatisfactory (40 – 49%) Poor/Very Poor (1 – 39%) Prediction and analysis Predictions for the questions are clearly written and appropriate and explain what you would predict based upon the description of the research question. Provides predictions for the questions based upon the description of the research question, however there are some minor errors / misunderstandings. Provides predictions for the questions based upon the description of the research question, however there are some errors / misunderstandings. Fails to provide accurate or complete predictions for the questions based upon the description of the research question. Fails to provide predictions for the questions based upon the description of the research question. Data screening Provides insightful descriptions of the data screening process using appropriate psychological terminology. Supported by references where appropriate. Describes the data screening process in detail using appropriate psychological terminology. Describes the data screening process using appropriate psychological terminology. There may be some errors / misunderstandings in reporting. Fails to satisfactorily screen the data for the questions. Fails to screen the data for the questions. Results The correct tests are identified, justified and reported correctly with no errors. All relevant information is included. There is an insightful description of the results using appropriate psychological terminology. Supported by references where appropriate. The correct tests are identified and reported clearly and accurately with minimal errors or missing elements. The results are described in detail using appropriate psychological terminology. The correct tests are identified and reported competently/to a passing standard, but there may be some weaknesses, errors or missing elements. The results are described using appropriate psychological terminology. There may be some errors / misunderstandings in reporting. The correct tests are not identified or expressed to a passing standard and there may be considerable weaknesses, errors or missing elements. The description of the results is unsatisfactory. The correct tests are not identified and the answer is expressed very poorly, with considerable misunderstandings, errors or missing elements. The results are not described. Discussion There is a short discussion of the findings of the results, demonstrating a thorough understanding of what the results can tell us. There is a short discussion of the findings of relevant results. There is a short discussion of the findings of relevant results, however there may be some minor errors or missing information (good). There may also be some evidence of weaknesses, errors or missing elements (satisfactory). The discussion of the findings may be missing most of the information or include many errors. The discussion of the findings is missing. Appendices All relevant calculations and SPSS outputs are included as appendices. Nearly all relevant calculations and SPSS outputs are included as appendices. Most of the relevant calculations and SPSS outputs are included as appendices, but some material may be missing. The relevant calculations and SPSS outputs may be missing from the appendices. The relevant calculations and SPSS outputs are missing from the appendices. Presentation and expression Excellent standard of presentation and expression, with very well structured academic writing. Appropriate psychological language used throughout. Very good standard of presentation and expression, with very well structured academic writing. Consistent use of appropriate psychological language. Good/satisfactory standard of presentation and expression, with generally well-structured/ adequately-structured academic writing. Ability to use appropriate psychological language/terms. Unsatisfactory standard of presentation and expression, with inadequately structured academic writing. Limited ability to use appropriate psychological terms. Poor standard of presentation, expression and academic writing that is not up to postgraduate standard. Inability to use appropriate psychological terms. Useful Links Library: https://www.derby.ac.uk/services/library/ Assessment regulations: https://www.derby.ac.uk/about/organisation/academic-regulations/ (sections F and E). Citing and referencing: https://www.derby.ac.uk/services/library/study-skills/citing-and-referencing/ Study Skills: https://www.derby.ac.uk/services/library/study-skills/ Study Advisor Scheme: https://www.derby.ac.uk/services/library/study-skills/study-advisor-scheme/ Essay Writing: https://www.derby.ac.uk/services/library/study-skills/essay-writing/ Turnitin (video): https://www.youtube.com/watch?v=822ZoLhsNZE IT Service Centre: https://www.derby.ac.uk/services/its/it-services-for-students/help-and-advice/ Personal Development Planning: https://courseresources.derby.ac.uk/bbcswebdav/institution/UDOL/Student%20Portal%20Pages/Personal%20Development%20Planning%20in%20the%20Digital%20Age/Personal%20Development%20Planning%20in%20the%20Digital%20Age_00_00_Welcome.html Cite Them Right: https://www-citethemrightonline-com.ezproxy.derby.ac.uk/ Read More »

Age of Revolution to Present Syllabus

Uncategorized / Victor kean

Humanities III: Age of Revolution to Present Syllabus MEET YOUR INSTRUCTOR Jesse G. Swan, Ph. D., Professor of English Dr. Swan has published widely in humanities topics. His Ph.D. is in English Renaissance and early modern literature, with an especial concentration on textual studies and postmodernity. Dr. Swan’s research has taken him to many of

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QSO 489 Final Project Guidelines and Rubric Overview The final project for this course is the creation of a SWOT analysis, project planning outline, and professional and personal reflection. As the final step in your journey toward your Bachelor of Science degree in Operations Management, you will complete a capstone that integrates the knowledge and skills that you have developed in previous coursework by conducting an analysis of an organization and applying continuous improvement practices for achieving sustainable operations and effective resource management. You will also reflect on your journey through the Operational Management program and how you plan to position yourself professionally. This capstone will be assessed somewhat differently than other courses you have taken online at SNHU. There are three separate components that operate together to comprise the whole capstone experience. For the capstone evaluation, you will be evaluated on all three as a unit. Your instructor will guide you through this process, keeping a running narrative of your strengths and weaknesses in relation to the outcomes as you progress through the class. The project is divided into two milestones, which will be submitted at various points throughout the course to scaffold learning and ensure quality final submissions. These milestones will be submitted in Modules Three and Five. The final project will be submitted in Module Seven. In this assignment, you will demonstrate your mastery of the following course outcomes: • QSO-489-01: Assess and apply operations management theory and best practices effectively in a global environment to achieve operational goals in support of business strategies • QSO-489-02: Evaluate and apply appropriate continuous improvement practices for achieving sustainable operations in a given environment • QSO-489-03: Utilize quantitative and qualitative techniques for solving problems with processes, procedures, and products • QSO-489-04: Evaluate the internal and external factors that influence business sustainability and competitive advantages in business • QSO-489-05: Make operations-management decisions that create value while minimizing risk for the purposes of meeting specified customer requirements • QSO-489-06: Develop and apply appropriate resource management techniques for promoting accountability, sustainability, and organizational effectiveness Prompt You will select an organization in operations management that is currently facing competition from other service industries in the same area (e.g.., Verizon vs. Sprint, Apple vs. Dell, Longhorn Steakhouse vs. Outback Steakhouse, Chrysler vs. Chevrolet, etc.). After laying the foundation for understanding the selected organization by analyzing data from both quantitative and qualitative sources, you will then apply continuous improvement techniques for identifying potential solutions by developing a SWOT analysis on the selected organization, ultimately contributing to its long-term planning and sustainability. You will then develop potential solution(s) for addressing the identified weaknesses or threats (outlined in the SWOT) that would add value to the organization with minimal risk. This will also be accompanied by a project planning outline that will highlight how and when the proposed solution will be introduced, which should adhere to common industry-driven project management principles. Finally, you will reflect on your journey through the Operational Management program and how you plan to position yourself professionally through a third component in the form of a personal and professional reflection. Capstone Component One: SWOT Analysis For the first of three capstone components, you will develop a comprehensive, professional SWOT analysis that will help form long-term planning and sustainability strategies, outlined in a project management plan (PMP). First, you will want to lay the foundation for conducting your SWOT analysis by comprehensively describing the selected organization and discussing the issues or problems that the organization is facing. Overall, it is important to include information that is pertinent for comprehending the organization and its problems. It is up to you to establish a robust context for understanding and responding to the organization’s need(s). Part of establishing a solid framework for analyzing the organization is incorporating information that supports why the problem(s) exists and how it is valid. For instance, based on your chosen organization, you should include both a quantitative analysis and qualitative analysis that speak to the organization’s need and identified problem. After conducting a SWOT analysis, you will bring your analysis together by synthesizing the results and identifying potential solutions. The following sections should be included: I. Strengths: Identify the strengths of the organization. II. Weaknesses: Identify the weaknesses of the organization. III. Opportunities: Identify potential opportunities that the organization should explore in order to expand. IV. Threats: Identify external factors that could potentially negatively affect the organization. V. Improvements: Develop potential solution(s) addressing the identified weaknesses and threats that are listed in the SWOT that would add value to the organization with minimal risk. Capstone Component Two: Project Planning Outline After identifying necessary improvements in Component One, you will pick one solution to expand upon in a professional project plan. Here, you will develop an abbreviated project management plan (PMP) that showcases the essential steps you think would be effective in implementing your proposed solution. Based on your SWOT analysis, your abbreviated PMP should be presented in an outline format with proposed tasks needed for implementation that adhere to industrydriven project management principles. • What tasks are needed in order to implement the proposed solution in the organization? Each task must be written out with thorough detail and should be organized chronologically, based on logical and appropriate start and end times for each task. • In closing, identify the overall value added if the solution is implemented. For instance, the solution may be developed to increase service quality for customers or to increase revenue, increase product quality, and so on. Capstone Component Three: Professional and Personal Reflection For the third and final component of your capstone, you will write an essay in which you discuss the process and outcomes of this project, as well as how your coursework culminated in the capstone project. This may include discussions of unforeseen problems or obstacles, as well as any surprises. The essay should also discuss your identified strengths and problems that you encountered while completing the project. Finally, the essay will examine how the capstone project will be useful in the job market or in furthering your education. You should envision this component as a personal reflection on the capstone and your experience in the Operations Management program as a whole. For instance, relative to the capstone, you could discuss what you did (or intended to do), and then consider what worked well, what challenges you faced, and what you would do differently to make your experience better. In reflecting on your time here at SNHU, you might discuss where you started, where you are now, and where you see yourself going. Note that this component is not about evaluating the capstone itself but rather your experience within the capstone project. Some of the issues that you could address in this final component of this capstone may include: • Overall, what was your capstone experience like? • Reflect on the significance of the capstone in relation to your own experience at SNHU. • What connections do you see between your capstone and your academic program? • How can learning about the analysis of qualitative and quantitative data be useful in your career? • The SWOT allows you to analyze internal and external factors. How can this tool be helpful after graduation? Milestones Milestone One: SWOT Analysis In Module Three, you will submit a SWOT analysis draft. You will develop a comprehensive, professional SWOT analysis that will help form long-term planning and sustainability strategies, outlined in a project management plan (PMP). This milestone will be graded with the Milestone One Rubric. Milestone Two: Project Planning Outline In Module Five, you will submit a project planning outline draft. You will pick one solution to expand upon in a professional project plan. Here, you will develop an abbreviated project management plan (PMP) that showcases the essential steps that you think would be effective in implementing your proposed solution. Based on your SWOT analysis, your abbreviated PMP should be presented in an outline format with proposed tasks needed for implementation that adhere to industry-driven project management principles. This milestone will be graded with the Milestone Two Rubric. Final Submission: SWOT Analysis, Project Planning Outline, and Professional and Personal Reflection In Module Seven, you will submit your SWOT analysis, project planning outline, and professional and personal reflection. It should be a complete, polished artifact containing all of the critical elements of the final product. It should reflect the incorporation of feedback gained throughout the course. This submission will be graded using the Final Project Rubric. Final Project Rubric Guidelines for Submission: Your final project must be 12–16 pages in length (plus a cover page and references) and must be written in APA format. Use double spacing, 12-point Times New Roman font, and one-inch margins. References should be cited using the latest edition of the American Psychological Association (APA) publication manual. You may include illustrations, photographs, graphs and charts, and other non-textual materials as needed to support the SWOT analysis (though all of the latter should be placed in an appendix or appendices if used). This rubric will be applied to all components as a whole, and no component will be assessed on its own. The “Possible Indicators of Success” are examples for you and the instructor of the types of concepts to look for to demonstrate proficiency. They are neither exhaustive nor proscriptive and should be used as guides for illustrating how your capstone embodies the outcome. All outcomes are weighted equally. QSO-489-01: Assess and apply operations management theory and best practices effectively in a global environment to achieve operational goals in support of business strategies Possible Indicators of Success Does the capstone demonstrate the student’s ability to assess and apply business strategies for identifying strengths, weaknesses, opportunities, and threats of an organization? Does the capstone demonstrate the student’s ability to assess how organizational goals and project planning may evolve within a global environment? Does the capstone demonstrate the student’s ability to assess how operational goals designed to achieve strategic or long-term goals connect with the global environment? Does the capstone demonstrate the student’s ability to apply and justify operations management theories or best practices to an organization? Does the capstone demonstrate the student’s ability to evaluate an organization’s potential to achieve success in reaching operational goals? QSO-489-02: Evaluate and apply appropriate continuous improvement practices for achieving sustainable operations in a given environment Possible Indicators of Success Does the capstone demonstrate the student’s ability to appropriately apply continuous improvement tools to an organization? Does the capstone demonstrate the student’s ability to evaluate outcomes of continuous improvement tools that are designed to help form long-term planning and sustainability strategies? Does the capstone demonstrate the student’s ability to evaluate relevant business environments for their influence on achieving sustainable operations? QSO-489-03: Utilize quantitative and qualitative techniques for solving problems with processes, procedures, and products Possible Indicators of Success Does the capstone demonstrate the student’s ability to appropriately utilize quantitative and qualitative techniques for understanding and identifying organizational need? Does the capstone demonstrate the student’s ability to evaluate organizational problem(s) and validate identified problem(s) with data? Does the capstone demonstrate the student’s ability to use data to guide decision making in solving problems? Does the capstone demonstrate the student’s ability to identify the relevance of an analysis of qualitative and quantitative data in various business environments? QSO-489-04: Evaluate the internal and external factors that influence business sustainability and competitive advantages in business Possible Indicators of Success Does the capstone demonstrate the student’s ability to evaluate internal and external factors for establishing sustainability and a competitive advantage in business? Does the capstone demonstrate the student’s ability to assess the strategic effects of the identified problem on the organization? Does the capstone demonstrate the student’s ability to compare and contrast a selected organization to competition from other service industries in the same area? Does the capstone demonstrate the student’s ability to evaluate an organization’s level of sustainability based on the current business environment? Does the capstone demonstrate the student’s ability to identify the relevance of an analysis of internal and external factors in various business environments? QSO-489-05: Make operations-management decisions that create value while minimizing risk for the purposes of meeting specified customer requirements Possible Indicators of Success Does the capstone demonstrate the student’s ability to appropriately develop and offer solutions to identified risks? Does the capstone demonstrate the student’s ability to make effective operations management decisions by highlighting the value of identified solutions at a strategic, intermediate, or short-term level? Does the capstone demonstrate the student’s ability to make decisions or formulate solutions that are designed to meet specified customer requirements? QSO-489-06: Develop and apply appropriate resource management techniques for promoting accountability, sustainability, and organizational effectiveness Possible Indicators of Success Does the capstone demonstrate the student’s ability to apply necessary and appropriate resource management techniques for improving organizational effectiveness and promoting accountability and sustainability? Does the capstone demonstrate the student’s ability to develop and communicate a plan for resource management? Does the capstone demonstrate the student’s ability to analyze organizational effectiveness in relation to the management of their resources?

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GET ALL YOUR ACADEMIC HELP AT ESSAYLINK.NET QSO 489 Final Project Guidelines and Rubric Overview The final project for this course is the creation of a SWOT analysis, project planning outline, and professional and personal reflection. As the final step in your journey toward your Bachelor of Science degree in Operations Management, you will complete

Liberty Challenged In Nineteenth Century America

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Assignment 2.2: Liberty Challenged in Nineteenth Century America Final Paper Due Week 10 and worth 140 points You have already developed a thesis statement and an outline in which you explored the peculiar institution known as slavery. Now you will develop the final paper in which you explore your main points in detail. Introduce your paper

Liberty Challenged In Nineteenth Century America Read More »

Exxon Mobil QSO 489 Milestone One Guidelines and Rubric During this process, you will be responsible for submitting a draft of SWOT analysis. You will develop a comprehensive, professional SWOT analysis that will help form long-term planning and sustainability strategies, outlined in a project management plan (PMP). Lay the foundation for conducting your SWOT analysis by comprehensively describing the selected organization and discussing the issues or problems that the organization is facing. Overall, it is important to include information that is pertinent for comprehending the organization and its problems. It is up to you to establish a robust context for understanding and responding to the organization’s need(s). Part of establishing a solid framework for analyzing the organization will be incorporating information that supports why the problem(s) exists and how it is valid. For instance, based on your chosen organization, you should include both a quantitative analysis and qualitative analysis that speak to the organization’s need and identified problem. After conducting a SWOT analysis, you will bring your analysis together by synthesizing the results and identifying potential solutions. The following sections should be included: • Strengths: Identify the strengths of the organization. • Weaknesses: Identify the weaknesses of the organization. • Opportunities: Identify potential opportunities that the organization should explore in order to expand. • Threats: Identify external factors that could potentially negatively affect the organization. • Improvements: Develop potential solution(s) addressing the identified weaknesses and threats listed in the SWOT that would add value to the organization with minimal risk. Guidelines for Submission: Milestone One must be four to five pages in length with double spacing, 12-point Times New Roman font, one-inch margins, and at least three citations in APA format. Rubric Critical Elements Proficient (100%) Not Proficient (0%) Value Strengths Identifies the strengths of the organization Does not identify the strengths of the organization 18 Weaknesses Identifies the weaknesses of the organization Does not identify the weaknesses of the organization 18 Opportunities Identifies potential opportunities the organization should explore in order to expand Does not identify potential opportunities the organization should explore in order to expand 18 Threats Identifies external factors that could potentially negatively affect the organization Does not identify external factors that could potentially negatively affect the organization 18 Improvements Develops potential solution(s) addressing the identified weaknesses and threats listed in the SWOT that would add value to the organization with minimal risk Does not develop potential solution(s) addressing the identified weaknesses and threats listed in the SWOT that would add value to the organization with minimal risk 18 Articulation of Response Submission has no major errors related to citations, grammar, spelling, syntax, or organization Submission has critical errors related to citations, grammar, spelling, syntax, or organization that prevent understanding of ideas 10 Earned Total 100%

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GET ALL YOUR ACADEMIC HELP AT ESSAYLINK.NET Exxon Mobil QSO 489 Milestone One Guidelines and Rubric During this process, you will be responsible for submitting a draft of SWOT analysis. You will develop a comprehensive, professional SWOT analysis that will help form long-term planning and sustainability strategies, outlined in a project management plan (PMP). Lay

Exxon Mobil QSO 489 Milestone One Guidelines and Rubric During this process, you will be responsible for submitting a draft of SWOT analysis. You will develop a comprehensive, professional SWOT analysis that will help form long-term planning and sustainability strategies, outlined in a project management plan (PMP). Lay the foundation for conducting your SWOT analysis by comprehensively describing the selected organization and discussing the issues or problems that the organization is facing. Overall, it is important to include information that is pertinent for comprehending the organization and its problems. It is up to you to establish a robust context for understanding and responding to the organization’s need(s). Part of establishing a solid framework for analyzing the organization will be incorporating information that supports why the problem(s) exists and how it is valid. For instance, based on your chosen organization, you should include both a quantitative analysis and qualitative analysis that speak to the organization’s need and identified problem. After conducting a SWOT analysis, you will bring your analysis together by synthesizing the results and identifying potential solutions. The following sections should be included: • Strengths: Identify the strengths of the organization. • Weaknesses: Identify the weaknesses of the organization. • Opportunities: Identify potential opportunities that the organization should explore in order to expand. • Threats: Identify external factors that could potentially negatively affect the organization. • Improvements: Develop potential solution(s) addressing the identified weaknesses and threats listed in the SWOT that would add value to the organization with minimal risk. Guidelines for Submission: Milestone One must be four to five pages in length with double spacing, 12-point Times New Roman font, one-inch margins, and at least three citations in APA format. Rubric Critical Elements Proficient (100%) Not Proficient (0%) Value Strengths Identifies the strengths of the organization Does not identify the strengths of the organization 18 Weaknesses Identifies the weaknesses of the organization Does not identify the weaknesses of the organization 18 Opportunities Identifies potential opportunities the organization should explore in order to expand Does not identify potential opportunities the organization should explore in order to expand 18 Threats Identifies external factors that could potentially negatively affect the organization Does not identify external factors that could potentially negatively affect the organization 18 Improvements Develops potential solution(s) addressing the identified weaknesses and threats listed in the SWOT that would add value to the organization with minimal risk Does not develop potential solution(s) addressing the identified weaknesses and threats listed in the SWOT that would add value to the organization with minimal risk 18 Articulation of Response Submission has no major errors related to citations, grammar, spelling, syntax, or organization Submission has critical errors related to citations, grammar, spelling, syntax, or organization that prevent understanding of ideas 10 Earned Total 100% Read More »

Introduction to Hardware Security Assignment 3 Due Date: August 15, 2022 (11:59 PM) General Instructions: • This will be a group assignment. Every group consists of five members. The allocated group numbers are uploaded separately. • Only electronic submissions will be accepted. • Late submissions will have penalties. • Any sort of plagiarism will be penalised. If you are referring to any materials online or books, please cite them accordingly otherwise it will be considered as plagiarism. • Please submit a detailed report explaining how you have solved the assignment. Question In this assignment, you have to implement a Differential Fault Attack on AES. You would be supplied with two pairs of faulty and correct ciphertext and using that you need to recover the first column (first 32 bits) of the round 10 key. The two pairs of faulty and correct ciphertext for each group are as given below: • Group 1: Correct Ciphertext1: 0xd8fdc9b896a929cb33df86b634e0dc04 Correct Ciphertext2: 0xaa5e77e2064d15e14babd14f5feafa77 Faulty Ciphertext1: 0x32622c1f5deed912b18a59996444273f Faulty Ciphertext2: 0xb7565eced22c123b2d6e2fc9101d2315 • Group 2: Correct Ciphertext1: 0xb21eeb73953e7a2771db222ecbeea788 Correct Ciphertext2: 0xcabe3e9988d6666a96a39e7b659ca91 Faulty Ciphertext1: 0x33cf60141fd2f121ff9a6126fefd03e6 Faulty Ciphertext2: 0x92317b8a9e24f1960f37385a4085b0d5 • Group 3: Correct Ciphertext1: 0x317982fa5666677f86b021f313e21725 Correct Ciphertext2: 0xeeade76ae853cceca45dddfe257c63c0 Faulty Ciphertext1: 0x77f3dac61758cdb2cd9ab5d532d4ec8d Faulty Ciphertext2: 0xc1531c070f9303ef23fca1f5bab1007 1 • Group 4: Correct Ciphertext1: 0x6559ddd4dde1df14a4888fb98dde1e67 Correct Ciphertext2: 0x7bde21b7f4a53022be2788696816249 Faulty Ciphertext1: 0xf289ba7cea98d64fa982fe226f4bdf48 Faulty Ciphertext2: 0x488a3c55b75ba66f857ca45b6ad47335 • Group 5: Correct Ciphertext1: 0xcb9e460f86b40b7d3b9ec48a0726acef Correct Ciphertext2: 0xe38830724a96247185621d21458c16fb Faulty Ciphertext1: 0x7fb5bd33e30867882ad89d326d824dc9 Faulty Ciphertext2: 0x48c3b33b3516a1f8c31d08f90479b7b5 • Group 6: Correct Ciphertext1: 0x3bbef03bda5e6125efc486d2fe0821d5 Correct Ciphertext2: 0x5d384a1c2fe264e6932b1762170c1e12 Faulty Ciphertext1: 0x56fa7358210307a95c322f931df5be7b Faulty Ciphertext2: 0x46b15f4bdb9f30fa1d4ae117979899f7 • Group 7: Correct Ciphertext1: 0x5ac34223b23627e417ff32d15dc62b3a Correct Ciphertext2: 0x620f470b13743f5f9f1026a0eed920eb Faulty Ciphertext1: 0xf4cc767bbddd6637aebd12ed264f360e Faulty Ciphertext2: 0xea9403be8583cd160ff038e449701213 • Group 8: Correct Ciphertext1: 0xda97114931cbd335500ee62b48fb6995 Correct Ciphertext2: 0x3c78541c6878b4b5fceb32ab3b807841 Faulty Ciphertext1: 0xc3629082c8831cce1f11d90545576548 Faulty Ciphertext2: 0xb04312979271e8eff1e4dc3f269b907a • Group 9: Correct Ciphertext1: 0x602711bfc28503c231ead1896c8a7bdf Correct Ciphertext2: 0x61f89da50a8ef28a8d76cc17fc9bc1ff Faulty Ciphertext1: 0x386b33963d6fc849285c601eff95f0eb Faulty Ciphertext2: 0x2421ed67d3d9d447dd753c6084e255aa • Group 10: Correct Ciphertext1: 0x4cd85c0098347a815bb1e10570ca3b4a Correct Ciphertext2: 0xeda5c644b23810b6214e7967a0740436 Faulty Ciphertext1: 0x6a076d5594e53e14a004abd11e7d39fb Faulty Ciphertext2: 0x3d8f745b817c036335ba1e891a72524d Deliverables: 1. Even though you are working in group, you need to submit solutions individually. 2. The solution for the assignment should be submitted as a zip file. The file should be named as StudentNameRollNumber.zip. 3. The submission should contain the following: • A python file. • The report (as pdf). 2

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GET ALL YOUR ACADEMIC HELP AT ESSAYLINK.NET Introduction to Hardware Security Assignment 3 Due Date: August 15, 2022 (11:59 PM) General Instructions: • This will be a group assignment. Every group consists of five members. The allocated group numbers are uploaded separately. • Only electronic submissions will be accepted. • Late submissions will have penalties.

Consider how Kangxi’s emotions and experiences shaped his policies and practises and how imperial policies and practises guided his outlook and feelings.

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All assignments must follow the guidelines below: · Cover page (with title, course name, student name, submission date, professor name) · Font (Times New Roman 12pt) · Page numbers (bottom centre of page) · Double-spacing · Proper citations, including: Ø Footnotes & Bibliography (not in-text references, “works cited”, etc.) Ø Chicago/Turabian style and formatting · Word count (within ~10% of requested length; penalties apply if over

Consider how Kangxi’s emotions and experiences shaped his policies and practises and how imperial policies and practises guided his outlook and feelings. Read More »

ASSESSMENT BRIEF Subject Code and Name STAT6003 : Statistics for Financial Decisions Assessment Assessment 4 – Case Study Individual/Group Individual Length (2000 words, +/- 10%) Learning Outcomes This assessment addresses the following subject learning outcomes: a) Examine the statistical techniques for the quantitative evaluation of data in decision making for accounting, finance and business applications. b) Identify and apply appropriate statistical techniques to the problems and challenges. c) Students will develop analytical and statistical skills through Excel data analysis to manipulate data into meaningful information for the purpose of decision making. d) Select and apply a range of data analysis tools to inform problem solving and decision making. e) Conduct quantitative research, articulate and present findings to a wide range of stakeholders, from accounting and non- accounting backgrounds. Submission By 11:55pm AEST/AEDT Sunday of Module 6.1 (week 11) Weighting 30% Total Marks 100 Marks Context: The main aims to develop students’ competency in statistical literacy for decision making in the local and global business environment. It reviews statistical techniques for the quantitative evaluation of data in Financial applications. Students will develop analytical and statistical skills to enable them to transform data into meaningful information for the purpose of decision making Instructions: • To more broadly understand the statistical literacy for decision making. • Interpret statistical results and communicate their statistical analysis in business reports. Submission Instructions: This individual assessment requires you to apply statistical knowledge and skills learned from STAT6003 lectures between weeks 1, 2, 7, 8, 9, 10 and 11. • This assesment can be based on several theories and methods. • Please use Excel for statistical analysis in this assessment. Relevant Excel statistical output must be properly analysed and interpreted. • Please provide a number for every table, graph or figure used and make clear reference to the table/graph/figure in your discussion. • The word limit for this group assignment is 2,000 words (excluding Excel output). Submit a copy of presentation Report in .docx, or .pdf format via the Assessment link in the main navigation menu in STAT6003. The Learning Facilitator will provide feedback with reference to the criteria below via the Grade Centre in the LMS portal. Feedback can be viewed in My Grades. Assessment tasks: The variables for this assignment are as follows: V1) Market Price ($000) V2) Sydney price Index V3) Total number of square meters V4) Age of house (years) Task 1: Selecting your Random Sample and Creating your Sample Data File ( 8 Marks) In order to select the sample data that will form the basis of your assignment you will need to make use of the random number table provided with this assignment. The provided table of random numbers is, as the title suggests, a sequence of randomly generated numerical digits (0 to 9). These digits are arranged in a table with one hundred rows numbered 01 to 00 and twenty columns spread over two pages. The entries in each column of each row consist of five single digits. The property data from which you will select your sample data consists of 400 IDs each with an identifying property number (PN) ranging from 1 (or 001) to 400. Your first task is to select 50 three digit random (property) numbers ranging from 001 to 400 from the provided table of random numbers. We will ask you to select 50 numbers, to begin with, just to cover the distinct possibility that you may select the same three digit number more than once. The type of simple random sampling that we will be engaged in here is termed “without replacement” because we specifically do not want to allow a property identification number to be selected more than once. In order to select your 50 random property identification numbers you will need to first go to a starting position row and column in the random number table. Defined by the last three digits of your Torrens University student identification number. The last two digits of your Torrens ID number identifies the row and the third last digit identifies the column of your (relatively) “unique” starting position. For the demonstration last three digits of 312, reading across row 12 from left to right starting at column 3 as instructed, you would encounter the following three digit numbers; 293 313 381 349 656 985 295 You need to record these first three acceptable ID numbers, 293, 313, 381 and 349 into the first column of an Excel spread-sheet and then continue this process until fifty valid three-digit personal identification numbers selected. Task 2: 1. Provide the complete summary statistics for Market Price ($000) and Age of house (years). (5 Marks) 2. Describe the shape of the distributions for Market Price ($000) and Age of house (years). (5 Marks) 3. Test whether the population’s average Market Price ($000) is different from 777. (5 Marks) 4. Construct a 95% confidence interval for the Market Price ($000), also Interpret the confidence interval. (4 Marks) 5. Provide an introduction section on the rationale of your model , sample size, and the dependent and independent variables (including their unit of measurement) in this model. (4 Marks) 6. Plot the dependent variable against each independent variable using scatter plot/dot function in Excel. Examine these scatter plots and correctly assess the strength and the nature of the relationship between the dependent and the independent variables? (6 Marks) 7. Present the multiple regression model with complete regression summary output in your assignment. (6 Marks) 8. Provide the simple linear regression data analysis for the market price as the response variable and the Land size in Square meters as the explanatory variable. Write down the least square regression equation and correctly interpret the equation. (6 Marks) 9. Write a clear interpretation of the slope of the regression line from question 8. You must refer to the variables of interest. (4 Marks) 10. What is the value of the coefficient of determination for the relationship between the dependent and independent variable from question 8. Interpret this value accurately and in a meaningful way. (4 Marks) 11. State the 95% confidence interval for the slope coefficient and interpret this interval from question 8. (5 Marks) 12. Compare the multiple regression model (question 7) and simple linear regression model (question 8) and evaluate the goodness of fit between these two modelling techniques. (8 Marks) 13. Predict the market price of a house (in $) with a building area of 300 square meters. Explain why your answer is valid. (4 Marks) 14. By performing an appropriate hypothesis test what decision and conclusion would you draw about the hypothesis that the Land size in Square meters useful in predicting the market price of a house (in $)? Use the data provided to justify your answer, as appropriate. When answering this research question. (8 Marks) 15. For statistical analysis involving hypothesis testing in this assignment, you are required to: • Formulate the null and alternative hypotheses for full model. • State your statistical decision using significant value (??) of 5% for this test. • State your conclusion in this context. (8 Marks) Learning Rubric: Assessment 4 Assessment Criteria Fail (Unacceptable) 0-49% Pass (Functional) 50-64% Credit (Proficient) 65-74% Distinction (Advanced) 75 -84% High Distinction (Exceptional) 85-100% Data Analysis using Excel 45% SLO addressed: Examine the statistical analysis through Excel Limited or no understanding of the statistical data analysis. Identifies a proportion of the understanding of the statistical data analysis. Identifies a majority of the understanding of the statistical data analysis. Correctly identifies all of the analytical techniques and understanding of the statistical data analysis. Not only identifies all of the analytical techniques with good understanding of the statistical data analysis. Application of Framework 45% SLO addressed: Identify and apply appropriate frameworks and tools to the problems and challenges Demonstrates no understanding of the framework and concepts relevant to the data analysis. Demonstrates little understanding of the framework and concepts relevant to the data analysis. Demonstrates good knowledge of the framework and concepts relevant to the data analysis. Demonstrates correct knowledge of the framework and concepts relevant to the data analysis. Demonstrates correct and complete knowledge of the framework and concepts relevant to the data analysis. Correct citation of key resources and evidence 10% Overall structure, appearance and referencing of the report are assessed. Demonstrates inconsistent use of good quality, credible and relevant resources to support and develop ideas. Very badly written, incorrect grammar, badly organised with no logical flow of the arguments. The document is missing in text referencing and/or a reference list. Demonstrates use of credible and relevant resources to support and develop ideas, but these are not always explicit or well developed. The document is very poorly referenced. Demonstrates use of high quality, credible and relevant resources and evidence to support and develop ideas. Demonstrates use of good quality, credible and relevant resources and evidence to support and develop arguments and statements. Demonstrates use of high-quality, credible and relevant resources and evidence to support and develop arguments and position statements. STAT6003 Assessment 4 Brief Case Study Individual Page 5 of 6

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GET ALL YOUR ACADEMIC HELP AT ESSAYLINK.NET ASSESSMENT BRIEF Subject Code and Name STAT6003 : Statistics for Financial Decisions Assessment Assessment 4 – Case Study Individual/Group Individual Length (2000 words, +/- 10%) Learning Outcomes This assessment addresses the following subject learning outcomes: a) Examine the statistical techniques for the quantitative evaluation of data in decision

ASSESSMENT BRIEF Subject Code and Name STAT6003 : Statistics for Financial Decisions Assessment Assessment 4 – Case Study Individual/Group Individual Length (2000 words, +/- 10%) Learning Outcomes This assessment addresses the following subject learning outcomes: a) Examine the statistical techniques for the quantitative evaluation of data in decision making for accounting, finance and business applications. b) Identify and apply appropriate statistical techniques to the problems and challenges. c) Students will develop analytical and statistical skills through Excel data analysis to manipulate data into meaningful information for the purpose of decision making. d) Select and apply a range of data analysis tools to inform problem solving and decision making. e) Conduct quantitative research, articulate and present findings to a wide range of stakeholders, from accounting and non- accounting backgrounds. Submission By 11:55pm AEST/AEDT Sunday of Module 6.1 (week 11) Weighting 30% Total Marks 100 Marks Context: The main aims to develop students’ competency in statistical literacy for decision making in the local and global business environment. It reviews statistical techniques for the quantitative evaluation of data in Financial applications. Students will develop analytical and statistical skills to enable them to transform data into meaningful information for the purpose of decision making Instructions: • To more broadly understand the statistical literacy for decision making. • Interpret statistical results and communicate their statistical analysis in business reports. Submission Instructions: This individual assessment requires you to apply statistical knowledge and skills learned from STAT6003 lectures between weeks 1, 2, 7, 8, 9, 10 and 11. • This assesment can be based on several theories and methods. • Please use Excel for statistical analysis in this assessment. Relevant Excel statistical output must be properly analysed and interpreted. • Please provide a number for every table, graph or figure used and make clear reference to the table/graph/figure in your discussion. • The word limit for this group assignment is 2,000 words (excluding Excel output). Submit a copy of presentation Report in .docx, or .pdf format via the Assessment link in the main navigation menu in STAT6003. The Learning Facilitator will provide feedback with reference to the criteria below via the Grade Centre in the LMS portal. Feedback can be viewed in My Grades. Assessment tasks: The variables for this assignment are as follows: V1) Market Price ($000) V2) Sydney price Index V3) Total number of square meters V4) Age of house (years) Task 1: Selecting your Random Sample and Creating your Sample Data File ( 8 Marks) In order to select the sample data that will form the basis of your assignment you will need to make use of the random number table provided with this assignment. The provided table of random numbers is, as the title suggests, a sequence of randomly generated numerical digits (0 to 9). These digits are arranged in a table with one hundred rows numbered 01 to 00 and twenty columns spread over two pages. The entries in each column of each row consist of five single digits. The property data from which you will select your sample data consists of 400 IDs each with an identifying property number (PN) ranging from 1 (or 001) to 400. Your first task is to select 50 three digit random (property) numbers ranging from 001 to 400 from the provided table of random numbers. We will ask you to select 50 numbers, to begin with, just to cover the distinct possibility that you may select the same three digit number more than once. The type of simple random sampling that we will be engaged in here is termed “without replacement” because we specifically do not want to allow a property identification number to be selected more than once. In order to select your 50 random property identification numbers you will need to first go to a starting position row and column in the random number table. Defined by the last three digits of your Torrens University student identification number. The last two digits of your Torrens ID number identifies the row and the third last digit identifies the column of your (relatively) “unique” starting position. For the demonstration last three digits of 312, reading across row 12 from left to right starting at column 3 as instructed, you would encounter the following three digit numbers; 293 313 381 349 656 985 295 You need to record these first three acceptable ID numbers, 293, 313, 381 and 349 into the first column of an Excel spread-sheet and then continue this process until fifty valid three-digit personal identification numbers selected. Task 2: 1. Provide the complete summary statistics for Market Price ($000) and Age of house (years). (5 Marks) 2. Describe the shape of the distributions for Market Price ($000) and Age of house (years). (5 Marks) 3. Test whether the population’s average Market Price ($000) is different from 777. (5 Marks) 4. Construct a 95% confidence interval for the Market Price ($000), also Interpret the confidence interval. (4 Marks) 5. Provide an introduction section on the rationale of your model , sample size, and the dependent and independent variables (including their unit of measurement) in this model. (4 Marks) 6. Plot the dependent variable against each independent variable using scatter plot/dot function in Excel. Examine these scatter plots and correctly assess the strength and the nature of the relationship between the dependent and the independent variables? (6 Marks) 7. Present the multiple regression model with complete regression summary output in your assignment. (6 Marks) 8. Provide the simple linear regression data analysis for the market price as the response variable and the Land size in Square meters as the explanatory variable. Write down the least square regression equation and correctly interpret the equation. (6 Marks) 9. Write a clear interpretation of the slope of the regression line from question 8. You must refer to the variables of interest. (4 Marks) 10. What is the value of the coefficient of determination for the relationship between the dependent and independent variable from question 8. Interpret this value accurately and in a meaningful way. (4 Marks) 11. State the 95% confidence interval for the slope coefficient and interpret this interval from question 8. (5 Marks) 12. Compare the multiple regression model (question 7) and simple linear regression model (question 8) and evaluate the goodness of fit between these two modelling techniques. (8 Marks) 13. Predict the market price of a house (in $) with a building area of 300 square meters. Explain why your answer is valid. (4 Marks) 14. By performing an appropriate hypothesis test what decision and conclusion would you draw about the hypothesis that the Land size in Square meters useful in predicting the market price of a house (in $)? Use the data provided to justify your answer, as appropriate. When answering this research question. (8 Marks) 15. For statistical analysis involving hypothesis testing in this assignment, you are required to: • Formulate the null and alternative hypotheses for full model. • State your statistical decision using significant value (??) of 5% for this test. • State your conclusion in this context. (8 Marks) Learning Rubric: Assessment 4 Assessment Criteria Fail (Unacceptable) 0-49% Pass (Functional) 50-64% Credit (Proficient) 65-74% Distinction (Advanced) 75 -84% High Distinction (Exceptional) 85-100% Data Analysis using Excel 45% SLO addressed: Examine the statistical analysis through Excel Limited or no understanding of the statistical data analysis. Identifies a proportion of the understanding of the statistical data analysis. Identifies a majority of the understanding of the statistical data analysis. Correctly identifies all of the analytical techniques and understanding of the statistical data analysis. Not only identifies all of the analytical techniques with good understanding of the statistical data analysis. Application of Framework 45% SLO addressed: Identify and apply appropriate frameworks and tools to the problems and challenges Demonstrates no understanding of the framework and concepts relevant to the data analysis. Demonstrates little understanding of the framework and concepts relevant to the data analysis. Demonstrates good knowledge of the framework and concepts relevant to the data analysis. Demonstrates correct knowledge of the framework and concepts relevant to the data analysis. Demonstrates correct and complete knowledge of the framework and concepts relevant to the data analysis. Correct citation of key resources and evidence 10% Overall structure, appearance and referencing of the report are assessed. Demonstrates inconsistent use of good quality, credible and relevant resources to support and develop ideas. Very badly written, incorrect grammar, badly organised with no logical flow of the arguments. The document is missing in text referencing and/or a reference list. Demonstrates use of credible and relevant resources to support and develop ideas, but these are not always explicit or well developed. The document is very poorly referenced. Demonstrates use of high quality, credible and relevant resources and evidence to support and develop ideas. Demonstrates use of good quality, credible and relevant resources and evidence to support and develop arguments and statements. Demonstrates use of high-quality, credible and relevant resources and evidence to support and develop arguments and position statements. STAT6003 Assessment 4 Brief Case Study Individual Page 5 of 6 Read More »

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