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TSU Tests to Compare Two Means & Sample for Variances Null Hypothesis Worksheet
This assignment is intended to test your knowledge of how to appropriately compare two means. The data file (attached file ...
TSU Tests to Compare Two Means & Sample for Variances Null Hypothesis Worksheet
This assignment is intended to test your knowledge of how to appropriately compare two means. The data file (attached file: data_file.xlsx) has 50 randomly selected student debt amounts from 2018and 50 randomly selected student debt amounts from 2013.The data fields included are as follows:Debt in 2018 (dollars)Debt in 2013 (dollars)A university representative wants to know whether the sample data provide enough evidence to believe there is a difference between the debt amounts in the two years. The null and alternative hypotheses are shown below.Null Hypothesis: Mean Student Debt in 2018 is equal to Mean Student Debt in 2013Alternative Hypothesis: Mean Student Debt in 2018 is not equal to Mean Student Debt in 2013Complete the following tasks:1.Run an F-test for two sample variances using an alpha level of 0.05 and answer the following questions:Which of the two years has the higher mean? What are the values?Which of the two years has the higher variance? What are the values?Based on the statistical output, would you conclude that variances are equal or not equal? Provide an appropriate/authoritative explanation leveraging the statistical output.2.Run an appropriate t-test (assuming either equal or unequal variances based on your conclusion in 1c above) using an alpha level of 0.05and answer the following questions:Is this a one-tailed or two-tailed test? Provide an appropriate/authoritative explanation that fully explains the choice.Based on the statistical output, would you conclude that means are equal or not equal? Provide an appropriate/authoritative explanation leveraging the statistical output.Using everyday language that could be understood by parents and students, what does the analysis say about student debt in 2018versus 2013? Provide an appropriate/authoritative explanation leveraging the statistical output (e.g., use confidence level, rationale, etc.)Make sure that you run all the required analyses using the Data Analysis Toolpak in Excel and SUBMIT the Data Analysis Output along with the Data file in a Single Excel workbook that shows all your output. You should also submit a separate Word document that fully, and professionally, responds to each question.Run all required analyses and submit them along with the data file in a single Excel workbook that shows all your output and provide responses to all of the questions in a Word document.Resourceshttps://www.youtube.com/watch?v=qI_RmXU1tOYhttps://www.youtube.com/watch?v=OHHhzLHakKAhttps://www.youtube.com/watch?v=L-jfenou5hI
Multiple Regression, statistics assignment help
Multiple RegressionAs with the previous week’s Discussion, this Discussion assists in solidifying your understanding of ...
Multiple Regression, statistics assignment help
Multiple RegressionAs with the previous week’s Discussion, this Discussion assists in solidifying your understanding of statistical testing by engaging in some data analysis. This week you will once again work with a real, secondary dataset to construct a research question, estimate a multiple regression model, and interpret the results.Whether in a scholarly or practitioner setting, good research and data analysis should have the benefit of peer feedback. For this Discussion, you will post your response to the hypothesis test, along with the results. Be sure and remember that the goal is to obtain constructive feedback to improve the research and its interpretation, so please view this as an opportunity to learn from one another.To prepare for this Discussion:Review this week’s Learning Resources and media program related to multiple regression.Create a research question using the General Social Survey that can be answered by multiple regression.By Day 3Use SPSS to answer the research question. Post your response to the following:What is your research question?What is the null hypothesis for your question?What research design would align with this question?What dependent variable was used and how is it measured?What independent variable is used and how is it measured?What other variables were added to the multiple regression models as controls?What is the justification for adding the variables?If you found significance, what is the strength of the effect?Explain your results for a lay audience, explain what the answer to your research question.Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.As with the previous week’s Discussion, this Discussion assists in solidifying your understanding of statistical testing by engaging in some data analysis. This week you will once again work with a real, secondary dataset to construct a research question, estimate a multiple regression model, and interpret the results.Whether in a scholarly or practitioner setting, good research and data analysis should have the benefit of peer feedback. For this Discussion, you will post your response to the hypothesis test, along with the results. Be sure and remember that the goal is to obtain constructive feedback to improve the research and its interpretation, so please view this as an opportunity to learn from one another.To prepare for this Discussion:Review this week’s Learning Resources and media program related to multiple regression.Create a research question using the General Social Survey that can be answered by multiple regression.By Day 3Use SPSS to answer the research question. Post your response to the following:What is your research question?What is the null hypothesis for your question?What research design would align with this question?What dependent variable was used and how is it measured?What independent variable is used and how is it measured?What other variables were added to the multiple regression models as controls?What is the justification for adding the variables?If you found significance, what is the strength of the effect?Explain your results for a lay audience, explain what the answer to your research question.Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.READ BEFORE POSTING! COLLAPSEFor an overview of multiple regression, you might want to take a look at Dr.Kathyrne's Practical Guide to multiple regression. I've attached it here and I'll also try to remember to put it in the doc sharing area.Remember that the type of multiple regression we are learning this week is linear multiple regression (sometimes also called OLS linear regression) -- it is an extension of the simple linear regression that we learned last week. That means that it is designed for variables measured at the interval/ratio level.We can get away with one dichotomous predictor variable, but more than that and we get into trouble. Just like last week, we can think of the hypotheses in two ways -- as comparing beta values or as comparing R2 values to 0.Remember to keep "collinearity" (sometimes called multicollinearity) in mind when designing your study. Avoid collinearity -- it creates big problems. We'll learn more about collinearity next week.Be sure to carefully review the weekly announcement -- I've given an example there of how to present the results.
3 pages
Descriptive Statistics
1. Summary of the data and each variable in the data set. The analysis indicates that both the local tuition and foreign t ...
Descriptive Statistics
1. Summary of the data and each variable in the data set. The analysis indicates that both the local tuition and foreign tuition have similar
NUR 704 The University of Alabama at Birmingham Descriptive Statistics Questions
1. What does the term Descriptive Statistics mean? 2. Identify which demographic and outcome data points in the case stu ...
NUR 704 The University of Alabama at Birmingham Descriptive Statistics Questions
1. What does the term Descriptive Statistics mean? 2. Identify which demographic and outcome data points in the case study a mean, range, and standard deviation will be calculated for. Provide a rationale for why this type of statistical analysis is appropriate for these data points. (Hint: this information is useful for your data analysis plan in NUR 704 or your related MSN courses).
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TSU Tests to Compare Two Means & Sample for Variances Null Hypothesis Worksheet
This assignment is intended to test your knowledge of how to appropriately compare two means. The data file (attached file ...
TSU Tests to Compare Two Means & Sample for Variances Null Hypothesis Worksheet
This assignment is intended to test your knowledge of how to appropriately compare two means. The data file (attached file: data_file.xlsx) has 50 randomly selected student debt amounts from 2018and 50 randomly selected student debt amounts from 2013.The data fields included are as follows:Debt in 2018 (dollars)Debt in 2013 (dollars)A university representative wants to know whether the sample data provide enough evidence to believe there is a difference between the debt amounts in the two years. The null and alternative hypotheses are shown below.Null Hypothesis: Mean Student Debt in 2018 is equal to Mean Student Debt in 2013Alternative Hypothesis: Mean Student Debt in 2018 is not equal to Mean Student Debt in 2013Complete the following tasks:1.Run an F-test for two sample variances using an alpha level of 0.05 and answer the following questions:Which of the two years has the higher mean? What are the values?Which of the two years has the higher variance? What are the values?Based on the statistical output, would you conclude that variances are equal or not equal? Provide an appropriate/authoritative explanation leveraging the statistical output.2.Run an appropriate t-test (assuming either equal or unequal variances based on your conclusion in 1c above) using an alpha level of 0.05and answer the following questions:Is this a one-tailed or two-tailed test? Provide an appropriate/authoritative explanation that fully explains the choice.Based on the statistical output, would you conclude that means are equal or not equal? Provide an appropriate/authoritative explanation leveraging the statistical output.Using everyday language that could be understood by parents and students, what does the analysis say about student debt in 2018versus 2013? Provide an appropriate/authoritative explanation leveraging the statistical output (e.g., use confidence level, rationale, etc.)Make sure that you run all the required analyses using the Data Analysis Toolpak in Excel and SUBMIT the Data Analysis Output along with the Data file in a Single Excel workbook that shows all your output. You should also submit a separate Word document that fully, and professionally, responds to each question.Run all required analyses and submit them along with the data file in a single Excel workbook that shows all your output and provide responses to all of the questions in a Word document.Resourceshttps://www.youtube.com/watch?v=qI_RmXU1tOYhttps://www.youtube.com/watch?v=OHHhzLHakKAhttps://www.youtube.com/watch?v=L-jfenou5hI
Multiple Regression, statistics assignment help
Multiple RegressionAs with the previous week’s Discussion, this Discussion assists in solidifying your understanding of ...
Multiple Regression, statistics assignment help
Multiple RegressionAs with the previous week’s Discussion, this Discussion assists in solidifying your understanding of statistical testing by engaging in some data analysis. This week you will once again work with a real, secondary dataset to construct a research question, estimate a multiple regression model, and interpret the results.Whether in a scholarly or practitioner setting, good research and data analysis should have the benefit of peer feedback. For this Discussion, you will post your response to the hypothesis test, along with the results. Be sure and remember that the goal is to obtain constructive feedback to improve the research and its interpretation, so please view this as an opportunity to learn from one another.To prepare for this Discussion:Review this week’s Learning Resources and media program related to multiple regression.Create a research question using the General Social Survey that can be answered by multiple regression.By Day 3Use SPSS to answer the research question. Post your response to the following:What is your research question?What is the null hypothesis for your question?What research design would align with this question?What dependent variable was used and how is it measured?What independent variable is used and how is it measured?What other variables were added to the multiple regression models as controls?What is the justification for adding the variables?If you found significance, what is the strength of the effect?Explain your results for a lay audience, explain what the answer to your research question.Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.As with the previous week’s Discussion, this Discussion assists in solidifying your understanding of statistical testing by engaging in some data analysis. This week you will once again work with a real, secondary dataset to construct a research question, estimate a multiple regression model, and interpret the results.Whether in a scholarly or practitioner setting, good research and data analysis should have the benefit of peer feedback. For this Discussion, you will post your response to the hypothesis test, along with the results. Be sure and remember that the goal is to obtain constructive feedback to improve the research and its interpretation, so please view this as an opportunity to learn from one another.To prepare for this Discussion:Review this week’s Learning Resources and media program related to multiple regression.Create a research question using the General Social Survey that can be answered by multiple regression.By Day 3Use SPSS to answer the research question. Post your response to the following:What is your research question?What is the null hypothesis for your question?What research design would align with this question?What dependent variable was used and how is it measured?What independent variable is used and how is it measured?What other variables were added to the multiple regression models as controls?What is the justification for adding the variables?If you found significance, what is the strength of the effect?Explain your results for a lay audience, explain what the answer to your research question.Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.READ BEFORE POSTING! COLLAPSEFor an overview of multiple regression, you might want to take a look at Dr.Kathyrne's Practical Guide to multiple regression. I've attached it here and I'll also try to remember to put it in the doc sharing area.Remember that the type of multiple regression we are learning this week is linear multiple regression (sometimes also called OLS linear regression) -- it is an extension of the simple linear regression that we learned last week. That means that it is designed for variables measured at the interval/ratio level.We can get away with one dichotomous predictor variable, but more than that and we get into trouble. Just like last week, we can think of the hypotheses in two ways -- as comparing beta values or as comparing R2 values to 0.Remember to keep "collinearity" (sometimes called multicollinearity) in mind when designing your study. Avoid collinearity -- it creates big problems. We'll learn more about collinearity next week.Be sure to carefully review the weekly announcement -- I've given an example there of how to present the results.
3 pages
Descriptive Statistics
1. Summary of the data and each variable in the data set. The analysis indicates that both the local tuition and foreign t ...
Descriptive Statistics
1. Summary of the data and each variable in the data set. The analysis indicates that both the local tuition and foreign tuition have similar
NUR 704 The University of Alabama at Birmingham Descriptive Statistics Questions
1. What does the term Descriptive Statistics mean? 2. Identify which demographic and outcome data points in the case stu ...
NUR 704 The University of Alabama at Birmingham Descriptive Statistics Questions
1. What does the term Descriptive Statistics mean? 2. Identify which demographic and outcome data points in the case study a mean, range, and standard deviation will be calculated for. Provide a rationale for why this type of statistical analysis is appropriate for these data points. (Hint: this information is useful for your data analysis plan in NUR 704 or your related MSN courses).
9 pages
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To complete this section, please review the articles on DAGs in the Week 5 Learning Resources. You may use any drawing too ...
Assignment11
To complete this section, please review the articles on DAGs in the Week 5 Learning Resources. You may use any drawing tools available to you to ...
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