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Response to classmate
Respond to at least one colleagues’ post with a comment on the presentation and interpretation of their analysis. In you ...
Response to classmate
Respond to at least one colleagues’ post with a comment on the presentation and interpretation of their analysis. In your response, address the following questions:Was the presentation of results clear? If so, provide some specific comments on why. If not, provide constructive suggestions.Are you able to understand how the results might relate back to positive social change? Do you think there are other aspects of positive social change related to the results?
MAT 211 Washington University Statistical Analysis of Salaries in Georgia HW
Course Project- Written PortionWelcome to the project. Introduce your scenario and data set.Provide a brief overview of th ...
MAT 211 Washington University Statistical Analysis of Salaries in Georgia HW
Course Project- Written PortionWelcome to the project. Introduce your scenario and data set.Provide a brief overview of the scenario you are given above and the data set that you will be analyzing.Classify the variables in your data set.Which variables are quantitative/qualitative?Which variables are discrete/continuous?Describe the level of measurement for each variable included in your data set.Discuss the importance of the Measures of Center and the Measures of Variation.What are the measures of center and why are they important?What are the measures of variation and why are they important?Calculate the measures of center and measures of variation. Interpret your results in context of the selected topic.MeanMedianModeMidrangeRangeVarianceStandard DeviationDiscuss the importance of constructing confidence intervals for the population mean.What are confidence intervals?What is a point estimate?What is the best point estimate for the population mean? Explain.Why do we need confidence intervals?Based on your selected topic, evaluate the following:Find the best point estimate of the population mean.Construct a 95% confidence interval for the population mean. Assume that your data is normally distributed and σ is unknown.Please show your work for the construction of this confidence
interval and be sure to use the Equation Editor to format your
equations.Write a statement that correctly interprets the confidence interval in context of your selected topic.Based on your selected topic, evaluate the following:Find the best point estimate of the population mean.Construct a 99% confidence interval for the population mean. Assume that your data is normally distributed and σ is unknown.Please show your work for the construction of this confidence
interval and be sure to use the Equation Editor to format your
equations.Write a statement that correctly interprets the confidence interval in context of your selected topic.Compare and contrast your findings for the 95% and 99% confidence interval.Did you notice any changes in your interval estimate? Explain.What conclusion(s) can be drawn about your interval estimates when the confidence level is increased? Explain.Discuss the process for hypothesis testing.Discuss the 8 steps of hypothesis testing?When performing the 8 steps for hypothesis testing, which method do you prefer; P-Value method or Critical Value method? Why?Perform the hypothesis test.If you selected Option 1:Original Claim: The average salary for all jobs in Georgia is less than $65,000.Test the claim using α = 0.05 and assume your data is normally distributed and σ is unknown.If you selected Option 2:Original Claim: The average age of all patients admitted to the hospital with infectious diseases is less than 65 years of age.Test the claim using α = 0.05 and assume your data is normally distributed and σ is unknown.Based on your selected topic, answer the following:Write the null and alternative hypothesis symbolically and identify which hypothesis is the claim.Is the test two-tailed, left-tailed, or right-tailed? Explain.Which test statistic will you use for your hypothesis test; z-test or t-test? Explain.What is the value of the test-statistic? What is the P-value?What is the critical value?What is your decision; reject the null or do not reject the null?Explain why you made your decision including the results for your p-value and the critical value.State the final conclusion in non-technical terms.ConclusionRecap your ideas by summarizing the information presented in context of your chosen scenario.Option 1Data set for option 1Option 2Data set for option 2
DeVry University Regression and Correlation Analysis Worksheet and Paper
Use the dependent variable (labeled Y) and one of the independent variables (labeled X1, X2, and X3) in the data file. (SE ...
DeVry University Regression and Correlation Analysis Worksheet and Paper
Use the dependent variable (labeled Y) and one of the independent variables (labeled X1, X2, and X3) in the data file. (SEE ATTACHED FILE) Select and use one independent variable throughout this analysis. Use Excel to perform the regression and correlation analysis to answer the following. The week 6 spreadsheet can be helpful in this work.Generate a scatterplot for the specified dependent variable (Y) and the selected independent variable (X), including the graph of the "best fit" line. Interpret.Determine the equation of the "best fit" line, which describes the relationship between the dependent variable and the selected independent variable.Determine the correlation coefficient. Interpret.Determine the coefficient of determination. Interpret.Test the utility of this regression model by completing a hypothesis test of b=0 using α=0.10. Interpret results, including the p-value.Based on the findings in steps 1-5, analyze the ability of the independent variable to predict the dependent variable.Compute the confidence interval for b, using a 95% confidence level. Interpret this interval.Compute the 99% confidence interval for the dependent variable, for a selected value of the independent variable. Each student can choose a value to use for the independent variable (use same value in the next step). Interpret this interval.Using the same chosen value for part (8), estimate the 99% prediction interval for the dependent variable. Interpret this interval.What can be said about the value of the dependent variable for values of the independent variable that are outside the range of the sample values? Explain.Describe a business decision that could be made based on the results of this analysis. In other words, how might the business operations change based on these statistical results.All DeVry University policies are in effect, including the plagiarism policy.Final Project report is due by the end of Week 7.Final Project is worth 130 total points. See grading rubric below.Summarize your results from Steps 1-11 in a 3-page report. The report should explain and interpret the results in ways that are understandable to someone who does not know statistics.Submission: The Word document, summary report should be submitted for questions 1-11. The Excel output can be included as an appendix, if needed.Format for report:Summary ReportSteps 1-11 addressed with appropriate output, graphs and interpretations. Be sure to number each step 1-11.The Word document, summary report should be submitted for questions 1-11. The Excel output can be included as an appendix, if needed.
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Response to classmate
Respond to at least one colleagues’ post with a comment on the presentation and interpretation of their analysis. In you ...
Response to classmate
Respond to at least one colleagues’ post with a comment on the presentation and interpretation of their analysis. In your response, address the following questions:Was the presentation of results clear? If so, provide some specific comments on why. If not, provide constructive suggestions.Are you able to understand how the results might relate back to positive social change? Do you think there are other aspects of positive social change related to the results?
MAT 211 Washington University Statistical Analysis of Salaries in Georgia HW
Course Project- Written PortionWelcome to the project. Introduce your scenario and data set.Provide a brief overview of th ...
MAT 211 Washington University Statistical Analysis of Salaries in Georgia HW
Course Project- Written PortionWelcome to the project. Introduce your scenario and data set.Provide a brief overview of the scenario you are given above and the data set that you will be analyzing.Classify the variables in your data set.Which variables are quantitative/qualitative?Which variables are discrete/continuous?Describe the level of measurement for each variable included in your data set.Discuss the importance of the Measures of Center and the Measures of Variation.What are the measures of center and why are they important?What are the measures of variation and why are they important?Calculate the measures of center and measures of variation. Interpret your results in context of the selected topic.MeanMedianModeMidrangeRangeVarianceStandard DeviationDiscuss the importance of constructing confidence intervals for the population mean.What are confidence intervals?What is a point estimate?What is the best point estimate for the population mean? Explain.Why do we need confidence intervals?Based on your selected topic, evaluate the following:Find the best point estimate of the population mean.Construct a 95% confidence interval for the population mean. Assume that your data is normally distributed and σ is unknown.Please show your work for the construction of this confidence
interval and be sure to use the Equation Editor to format your
equations.Write a statement that correctly interprets the confidence interval in context of your selected topic.Based on your selected topic, evaluate the following:Find the best point estimate of the population mean.Construct a 99% confidence interval for the population mean. Assume that your data is normally distributed and σ is unknown.Please show your work for the construction of this confidence
interval and be sure to use the Equation Editor to format your
equations.Write a statement that correctly interprets the confidence interval in context of your selected topic.Compare and contrast your findings for the 95% and 99% confidence interval.Did you notice any changes in your interval estimate? Explain.What conclusion(s) can be drawn about your interval estimates when the confidence level is increased? Explain.Discuss the process for hypothesis testing.Discuss the 8 steps of hypothesis testing?When performing the 8 steps for hypothesis testing, which method do you prefer; P-Value method or Critical Value method? Why?Perform the hypothesis test.If you selected Option 1:Original Claim: The average salary for all jobs in Georgia is less than $65,000.Test the claim using α = 0.05 and assume your data is normally distributed and σ is unknown.If you selected Option 2:Original Claim: The average age of all patients admitted to the hospital with infectious diseases is less than 65 years of age.Test the claim using α = 0.05 and assume your data is normally distributed and σ is unknown.Based on your selected topic, answer the following:Write the null and alternative hypothesis symbolically and identify which hypothesis is the claim.Is the test two-tailed, left-tailed, or right-tailed? Explain.Which test statistic will you use for your hypothesis test; z-test or t-test? Explain.What is the value of the test-statistic? What is the P-value?What is the critical value?What is your decision; reject the null or do not reject the null?Explain why you made your decision including the results for your p-value and the critical value.State the final conclusion in non-technical terms.ConclusionRecap your ideas by summarizing the information presented in context of your chosen scenario.Option 1Data set for option 1Option 2Data set for option 2
DeVry University Regression and Correlation Analysis Worksheet and Paper
Use the dependent variable (labeled Y) and one of the independent variables (labeled X1, X2, and X3) in the data file. (SE ...
DeVry University Regression and Correlation Analysis Worksheet and Paper
Use the dependent variable (labeled Y) and one of the independent variables (labeled X1, X2, and X3) in the data file. (SEE ATTACHED FILE) Select and use one independent variable throughout this analysis. Use Excel to perform the regression and correlation analysis to answer the following. The week 6 spreadsheet can be helpful in this work.Generate a scatterplot for the specified dependent variable (Y) and the selected independent variable (X), including the graph of the "best fit" line. Interpret.Determine the equation of the "best fit" line, which describes the relationship between the dependent variable and the selected independent variable.Determine the correlation coefficient. Interpret.Determine the coefficient of determination. Interpret.Test the utility of this regression model by completing a hypothesis test of b=0 using α=0.10. Interpret results, including the p-value.Based on the findings in steps 1-5, analyze the ability of the independent variable to predict the dependent variable.Compute the confidence interval for b, using a 95% confidence level. Interpret this interval.Compute the 99% confidence interval for the dependent variable, for a selected value of the independent variable. Each student can choose a value to use for the independent variable (use same value in the next step). Interpret this interval.Using the same chosen value for part (8), estimate the 99% prediction interval for the dependent variable. Interpret this interval.What can be said about the value of the dependent variable for values of the independent variable that are outside the range of the sample values? Explain.Describe a business decision that could be made based on the results of this analysis. In other words, how might the business operations change based on these statistical results.All DeVry University policies are in effect, including the plagiarism policy.Final Project report is due by the end of Week 7.Final Project is worth 130 total points. See grading rubric below.Summarize your results from Steps 1-11 in a 3-page report. The report should explain and interpret the results in ways that are understandable to someone who does not know statistics.Submission: The Word document, summary report should be submitted for questions 1-11. The Excel output can be included as an appendix, if needed.Format for report:Summary ReportSteps 1-11 addressed with appropriate output, graphs and interpretations. Be sure to number each step 1-11.The Word document, summary report should be submitted for questions 1-11. The Excel output can be included as an appendix, if needed.
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