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20201130192805spss Assignment Wednesday 1 3
It is preferred that students work in pairs on the assignment, with one assignment submitted per pair; both students in a ...
20201130192805spss Assignment Wednesday 1 3
It is preferred that students work in pairs on the assignment, with one assignment submitted per pair; both students in a pair will receive the same ...
Chamberlain College Week 7 Data Collection Method Lab Paper
Required ResourcesRead/review the following resources for this activity:OpenStax Textbook: Chapter 8LessonChamberlain Univ ...
Chamberlain College Week 7 Data Collection Method Lab Paper
Required ResourcesRead/review the following resources for this activity:OpenStax Textbook: Chapter 8LessonChamberlain University LibraryScenario/SummaryThe highlight of this week's lab is confidence intervals and the use of these intervals in the health sciences. There is a short reading that specifically relates confidence intervals to health sciences and then you are asked to demonstrate your knowledge of confidence intervals by applying them in a practical manner.DeliverablesThe deliverable is a Word document with your answers to the questions posed below based on the article you find.Required SoftwareMicrosoft WordInternet access to read articlesSteps to Complete the Week 7 LabStep 1: Find these articles in the Chamberlain Library. Once you click each link, you will be logged into the Library and then click on "PDF Full Text".First Article: Confidence Intervals, Part 1 (Links to an external site.) (Links to an external site.)Links to an external site. (Links to an external site.)Second Article: Confidence Intervals, Part 2 (Links to an external site.) (Links to an external site.)Links to an external site. (Links to an external site.)Step 2: Consider the use of confidence intervals in health sciences with these articles as inspiration and insights.Step 3: Using the data you collected for the Week 5 Lab (heights of 10 different people that you work with), discuss your method of collection for the values that you are using in your study. What are some faults with this type of data collection? What other type of data collection could you have used, and how might this have affected your study?Step 4: Now use the Week 6 Spreadsheet (Links to an external site.) to help you with calculations for the following questions/statements.Give a point estimate for the average height of all people at the place where you work. Start by putting the ten heights you are working with into the blue Data column of the spreadsheet. What is your point estimate, and what does this mean?Find a 95% confidence interval for the true mean height of all the people at your place of work. What is the interval?Give a practical interpretation of the interval you found in part b, and explain carefully what the output means. (For example, you might say, "I am 95% confident that the true mean height of all of the people in my company is between 64 inches and 68 inches").Post a screenshot of your work from the t value Confidence Interval for µ from the Confidence Interval tab on the Week 6 Excel spreadsheetStep 5: Now, find a 99% confidence interval for the same data. Would the margin of error be larger or smaller for the 99% CI? Explain your reasoning.Step 6: Save the Week 7 Lab document with your answers and include your name in the title.Step 7: Submit the document.GradingThis activity will be graded based on the Week 7 Lab Rubric.Course Outcomes (CO): 8RubricWeek 7 Assignment: LabCriteriaRatingsPtsThis criterion is linked to a Learning OutcomeData Collection and Pitfalls Range12.0 ptsProficient Lab includes all of the following: *10 data points/heights *method of collection *faults with method of collection used *a different method of collection10.2 ptsAbove Average Lab includes 3 out of 4 of the following: *10 data points/heights *method of collection *faults with method of collection used *a different method of collection8.4 ptsAverage Lab includes 2 out of 4 of the following: *10 data points/heights *method of collection *faults with method of collection used *a different method of collection6.6 ptsNeeds Improvement Lab includes 1 out of 4 of the following: *10 data points/heights *method of collection *faults with method of collection used *a different method of collection0.0 ptsNo Effort12.0 ptsThis criterion is linked to a Learning OutcomeEstimate a Confidence Interval15.0 ptsProficient Lab includes all of the following: *point estimate *95% confidence interval *screenshot of Excel spreadsheet *practical interpretation on confidence interval12.75 ptsAbove Average Lab includes 3 out of 4 of the following: *point estimate *95% confidence interval *screenshot of Excel spreadsheet *practical interpretation on confidence interval10.5 ptsAverage Lab includes 2 out of 4 of the following: *point estimate *95% confidence interval *screenshot of Excel spreadsheet *practical interpretation on confidence interval8.25 ptsNeeds Improvement Lab includes 1 out of 4 of the following: *point estimate *95% confidence interval *screenshot of Excel spreadsheet *practical interpretation on confidence interval0.0 ptsNo Effort15.0 ptsThis criterion is linked to a Learning OutcomeInterpret a Confidence Interval15.0 ptsProficient Lab addresses all of the following well *a 99% confidence interval *comparison of margins of error for 99% and 95% *explanation of reasoning12.75 ptsAbove Average Lab addresses 2 out of 3 of the following well *a 99% confidence interval *comparison of margins of error for 99% and 95% *explanation of reasoning10.5 ptsAverage Lab addresses 1 out of 3 of the following well *a 99% confidence interval *comparison of margins of error for 99% and 95% *explanation of reasoning8.25 ptsNeeds Improvement Lab mentions but does not explain fully any of the following *a 99% confidence interval *comparison of margins of error for 99% and 95% *explanation of reasoning0.0 ptsNo Effort15.0 ptsThis criterion is linked to a Learning OutcomeGrammar and Formatting8.0 ptsProficient Lab is easy to read and presents material in a logical order with no grammatical errors.6.8 ptsAbove Average Lab is easy to read and presents material in a logical order. There are a few grammatical errors but they do not distract from readability.5.6 ptsAverage Lab is easy to read and has few grammatical errors, but it is not logically organized.4.4 ptsNeeds Improvement There are significant grammatical errors and organizational issues that distract from readability.0.0 ptsNo Effort8.0 pts
Introduction to statistics/ probability theory
Assignment OverviewSuppose that a 2012 National Health Interview Survey gives the number of adults in the United States wh ...
Introduction to statistics/ probability theory
Assignment OverviewSuppose that a 2012 National Health Interview Survey gives the number of adults in the United States which gives the number of adults in the United States (reported in thousands) classified by their age group, and whether or not respondents have ever been tested for HIV. Here are the dataAge group (yrs)Tested. Never Tested18-44. 50,080. 56,40545-64. 23,768. 48,537 65-74. 2,694. 15,1675 years and older. 1,247. 14,663Total. 77,789. 134,767Discuss probability. What is its history? What is the theory of probability? How is it calculated? What are the advantages and disadvantages of using this technique?
Identify and discuss the two major categories of probability interpretations, whose adherents possess conflicting views about the fundamental nature of probability.
Based on this survey, what is the probability that a randomly selected American adult has never been tested? Show your work. Hint: using the data in the two total rows, this would be calculated as p (NT) /( p (NT) + p (T)), where p is probability.
What proportion of 18- to 44-year-old Americans have never been tested for HIV? Hint: using the values in the 18–44 cells, this would be calculated as p (NT) / ( p (NT) + p (T)), where p is probability. Show your work.
Submit your (2-3 pages) paper by the end of this module.INTRODUCTION TO HYPOTHESIS TESTINGRequired Reading and ResourcesCook, A., Netuveli, G., & Sheikh, A. (2004). Chapter 4: Statistical inference. In Basic skills in statistics: A guide for healthcare professionals (pp. 40-52). London, GBR: Class Publishing. eISBN: 9781859591291.Davis, R., & Mukamal, K. (2006). Statistical primer for cardiovascular research: Hypothesis testing. Circulation, 114(10), 1078-1082. Retrieved from http://circ.ahajournals.org/content/114/10/1078.fu...Norman, G. R., & Streiner, D. L. (2014). Section the first: The nature of data and statistics: Chapter 6: Elements of statistical inference. In Biostatistics: The bare essentials [4th ed., e-Book]. Shelton, Connecticut: PMPH-USA, Ltd. eISBN-13: 978-1-60795-279-4. Available in the Trident Online Library EBSCO eBook Collection.Additional Reading and Resources (Optional)McDonald, J. H. (2009). Basic concepts of hypothesis testing. Retrieved from http://www.biostathandbook.com/hypothesistesting.h...Johnson, L. (2008). Principles of hypothesis testing for public health. National Center for Complementary and Alternative Medicine. Retrieved from https://ippcr.nihtraining.com/handouts/2011/Hypoth...Statistics Learning Centre. (2011, December 5). Hypothesis tests, p-value - Statistics help [video file]. Retrieved from Statistics Learning Centre. (2011, October 31). Understanding the p-value - Statistics help [video file]. Retrieved from Stensson, E. (2012, Apr.) Basic statistics tutorial 45 hypothesis testing (one-sided), sample and population mean (z) [video file]. Retrieved from
3 pages
Correlation Regression
A survey was conducted that asked participants to report their SAT scores and high school GPA. The following All rights ar ...
Correlation Regression
A survey was conducted that asked participants to report their SAT scores and high school GPA. The following All rights are reserved. The material ...
Introduction to Quantitative Analysis Descriptive Analysis
Assignment: Introduction to Quantitative Analysis: Descriptive AnalysisIn this Assignment, you will differentiate between ...
Introduction to Quantitative Analysis Descriptive Analysis
Assignment: Introduction to Quantitative Analysis: Descriptive AnalysisIn this Assignment, you will differentiate between the proper use of summary statistics for categorical and continuous level data. In this exercise, you will explore what output is provided for each of these variables and provide some meaning from these statistics for your reader. The ability to place the statistics into a context that your reader understands and can make sense of is a highly desirable skill.For this Introduction to Quantitative Analysis: Descriptive Analysis Assignment, you will examine the same two variables you used from your Week 2 Assignment and perform the appropriate descriptive analysis of the data given.To prepare for this Assignment:Review this week’s Learning Resources and the Central Tendency and Variability media program.For additional support, review the Skill Builder: Measures of Central Tendency for Continuous Variables, Skill Builder: Standard Deviation as a Measure of Variability for Continuous Variables and the Skill Builder: Measures of Central Tendency and Variability for Categorical Variables, which you can find by navigating back to your Blackboard Course Home Page. From there, locate the Skill Builder link in the left navigation pane.Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset from your Assignment in Week 2.Choose the same two variables you chose from your Week 2 Assignment and perform the appropriate descriptive analysis of the data.Once you perform your descriptive analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.Write a 2- to 3-paragraph analysis of your descriptive analysis results and include a copy and paste your output from your analysis into your final document.Based on the results of your data, provide a brief explanation of what the implications for social change might be.Use appropriate APA format, citations and referencing. Refer to the APA manual for appropriate citation.
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20201130192805spss Assignment Wednesday 1 3
It is preferred that students work in pairs on the assignment, with one assignment submitted per pair; both students in a ...
20201130192805spss Assignment Wednesday 1 3
It is preferred that students work in pairs on the assignment, with one assignment submitted per pair; both students in a pair will receive the same ...
Chamberlain College Week 7 Data Collection Method Lab Paper
Required ResourcesRead/review the following resources for this activity:OpenStax Textbook: Chapter 8LessonChamberlain Univ ...
Chamberlain College Week 7 Data Collection Method Lab Paper
Required ResourcesRead/review the following resources for this activity:OpenStax Textbook: Chapter 8LessonChamberlain University LibraryScenario/SummaryThe highlight of this week's lab is confidence intervals and the use of these intervals in the health sciences. There is a short reading that specifically relates confidence intervals to health sciences and then you are asked to demonstrate your knowledge of confidence intervals by applying them in a practical manner.DeliverablesThe deliverable is a Word document with your answers to the questions posed below based on the article you find.Required SoftwareMicrosoft WordInternet access to read articlesSteps to Complete the Week 7 LabStep 1: Find these articles in the Chamberlain Library. Once you click each link, you will be logged into the Library and then click on "PDF Full Text".First Article: Confidence Intervals, Part 1 (Links to an external site.) (Links to an external site.)Links to an external site. (Links to an external site.)Second Article: Confidence Intervals, Part 2 (Links to an external site.) (Links to an external site.)Links to an external site. (Links to an external site.)Step 2: Consider the use of confidence intervals in health sciences with these articles as inspiration and insights.Step 3: Using the data you collected for the Week 5 Lab (heights of 10 different people that you work with), discuss your method of collection for the values that you are using in your study. What are some faults with this type of data collection? What other type of data collection could you have used, and how might this have affected your study?Step 4: Now use the Week 6 Spreadsheet (Links to an external site.) to help you with calculations for the following questions/statements.Give a point estimate for the average height of all people at the place where you work. Start by putting the ten heights you are working with into the blue Data column of the spreadsheet. What is your point estimate, and what does this mean?Find a 95% confidence interval for the true mean height of all the people at your place of work. What is the interval?Give a practical interpretation of the interval you found in part b, and explain carefully what the output means. (For example, you might say, "I am 95% confident that the true mean height of all of the people in my company is between 64 inches and 68 inches").Post a screenshot of your work from the t value Confidence Interval for µ from the Confidence Interval tab on the Week 6 Excel spreadsheetStep 5: Now, find a 99% confidence interval for the same data. Would the margin of error be larger or smaller for the 99% CI? Explain your reasoning.Step 6: Save the Week 7 Lab document with your answers and include your name in the title.Step 7: Submit the document.GradingThis activity will be graded based on the Week 7 Lab Rubric.Course Outcomes (CO): 8RubricWeek 7 Assignment: LabCriteriaRatingsPtsThis criterion is linked to a Learning OutcomeData Collection and Pitfalls Range12.0 ptsProficient Lab includes all of the following: *10 data points/heights *method of collection *faults with method of collection used *a different method of collection10.2 ptsAbove Average Lab includes 3 out of 4 of the following: *10 data points/heights *method of collection *faults with method of collection used *a different method of collection8.4 ptsAverage Lab includes 2 out of 4 of the following: *10 data points/heights *method of collection *faults with method of collection used *a different method of collection6.6 ptsNeeds Improvement Lab includes 1 out of 4 of the following: *10 data points/heights *method of collection *faults with method of collection used *a different method of collection0.0 ptsNo Effort12.0 ptsThis criterion is linked to a Learning OutcomeEstimate a Confidence Interval15.0 ptsProficient Lab includes all of the following: *point estimate *95% confidence interval *screenshot of Excel spreadsheet *practical interpretation on confidence interval12.75 ptsAbove Average Lab includes 3 out of 4 of the following: *point estimate *95% confidence interval *screenshot of Excel spreadsheet *practical interpretation on confidence interval10.5 ptsAverage Lab includes 2 out of 4 of the following: *point estimate *95% confidence interval *screenshot of Excel spreadsheet *practical interpretation on confidence interval8.25 ptsNeeds Improvement Lab includes 1 out of 4 of the following: *point estimate *95% confidence interval *screenshot of Excel spreadsheet *practical interpretation on confidence interval0.0 ptsNo Effort15.0 ptsThis criterion is linked to a Learning OutcomeInterpret a Confidence Interval15.0 ptsProficient Lab addresses all of the following well *a 99% confidence interval *comparison of margins of error for 99% and 95% *explanation of reasoning12.75 ptsAbove Average Lab addresses 2 out of 3 of the following well *a 99% confidence interval *comparison of margins of error for 99% and 95% *explanation of reasoning10.5 ptsAverage Lab addresses 1 out of 3 of the following well *a 99% confidence interval *comparison of margins of error for 99% and 95% *explanation of reasoning8.25 ptsNeeds Improvement Lab mentions but does not explain fully any of the following *a 99% confidence interval *comparison of margins of error for 99% and 95% *explanation of reasoning0.0 ptsNo Effort15.0 ptsThis criterion is linked to a Learning OutcomeGrammar and Formatting8.0 ptsProficient Lab is easy to read and presents material in a logical order with no grammatical errors.6.8 ptsAbove Average Lab is easy to read and presents material in a logical order. There are a few grammatical errors but they do not distract from readability.5.6 ptsAverage Lab is easy to read and has few grammatical errors, but it is not logically organized.4.4 ptsNeeds Improvement There are significant grammatical errors and organizational issues that distract from readability.0.0 ptsNo Effort8.0 pts
Introduction to statistics/ probability theory
Assignment OverviewSuppose that a 2012 National Health Interview Survey gives the number of adults in the United States wh ...
Introduction to statistics/ probability theory
Assignment OverviewSuppose that a 2012 National Health Interview Survey gives the number of adults in the United States which gives the number of adults in the United States (reported in thousands) classified by their age group, and whether or not respondents have ever been tested for HIV. Here are the dataAge group (yrs)Tested. Never Tested18-44. 50,080. 56,40545-64. 23,768. 48,537 65-74. 2,694. 15,1675 years and older. 1,247. 14,663Total. 77,789. 134,767Discuss probability. What is its history? What is the theory of probability? How is it calculated? What are the advantages and disadvantages of using this technique?
Identify and discuss the two major categories of probability interpretations, whose adherents possess conflicting views about the fundamental nature of probability.
Based on this survey, what is the probability that a randomly selected American adult has never been tested? Show your work. Hint: using the data in the two total rows, this would be calculated as p (NT) /( p (NT) + p (T)), where p is probability.
What proportion of 18- to 44-year-old Americans have never been tested for HIV? Hint: using the values in the 18–44 cells, this would be calculated as p (NT) / ( p (NT) + p (T)), where p is probability. Show your work.
Submit your (2-3 pages) paper by the end of this module.INTRODUCTION TO HYPOTHESIS TESTINGRequired Reading and ResourcesCook, A., Netuveli, G., & Sheikh, A. (2004). Chapter 4: Statistical inference. In Basic skills in statistics: A guide for healthcare professionals (pp. 40-52). London, GBR: Class Publishing. eISBN: 9781859591291.Davis, R., & Mukamal, K. (2006). Statistical primer for cardiovascular research: Hypothesis testing. Circulation, 114(10), 1078-1082. Retrieved from http://circ.ahajournals.org/content/114/10/1078.fu...Norman, G. R., & Streiner, D. L. (2014). Section the first: The nature of data and statistics: Chapter 6: Elements of statistical inference. In Biostatistics: The bare essentials [4th ed., e-Book]. Shelton, Connecticut: PMPH-USA, Ltd. eISBN-13: 978-1-60795-279-4. Available in the Trident Online Library EBSCO eBook Collection.Additional Reading and Resources (Optional)McDonald, J. H. (2009). Basic concepts of hypothesis testing. Retrieved from http://www.biostathandbook.com/hypothesistesting.h...Johnson, L. (2008). Principles of hypothesis testing for public health. National Center for Complementary and Alternative Medicine. Retrieved from https://ippcr.nihtraining.com/handouts/2011/Hypoth...Statistics Learning Centre. (2011, December 5). Hypothesis tests, p-value - Statistics help [video file]. Retrieved from Statistics Learning Centre. (2011, October 31). Understanding the p-value - Statistics help [video file]. Retrieved from Stensson, E. (2012, Apr.) Basic statistics tutorial 45 hypothesis testing (one-sided), sample and population mean (z) [video file]. Retrieved from
3 pages
Correlation Regression
A survey was conducted that asked participants to report their SAT scores and high school GPA. The following All rights ar ...
Correlation Regression
A survey was conducted that asked participants to report their SAT scores and high school GPA. The following All rights are reserved. The material ...
Introduction to Quantitative Analysis Descriptive Analysis
Assignment: Introduction to Quantitative Analysis: Descriptive AnalysisIn this Assignment, you will differentiate between ...
Introduction to Quantitative Analysis Descriptive Analysis
Assignment: Introduction to Quantitative Analysis: Descriptive AnalysisIn this Assignment, you will differentiate between the proper use of summary statistics for categorical and continuous level data. In this exercise, you will explore what output is provided for each of these variables and provide some meaning from these statistics for your reader. The ability to place the statistics into a context that your reader understands and can make sense of is a highly desirable skill.For this Introduction to Quantitative Analysis: Descriptive Analysis Assignment, you will examine the same two variables you used from your Week 2 Assignment and perform the appropriate descriptive analysis of the data given.To prepare for this Assignment:Review this week’s Learning Resources and the Central Tendency and Variability media program.For additional support, review the Skill Builder: Measures of Central Tendency for Continuous Variables, Skill Builder: Standard Deviation as a Measure of Variability for Continuous Variables and the Skill Builder: Measures of Central Tendency and Variability for Categorical Variables, which you can find by navigating back to your Blackboard Course Home Page. From there, locate the Skill Builder link in the left navigation pane.Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset from your Assignment in Week 2.Choose the same two variables you chose from your Week 2 Assignment and perform the appropriate descriptive analysis of the data.Once you perform your descriptive analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.Write a 2- to 3-paragraph analysis of your descriptive analysis results and include a copy and paste your output from your analysis into your final document.Based on the results of your data, provide a brief explanation of what the implications for social change might be.Use appropriate APA format, citations and referencing. Refer to the APA manual for appropriate citation.
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