Unit Project 2 Instructions
For Unit Project 2, you will write a follow-up briefing memo to your supervisor, Dr. Random. Dr. Random has asked that you perform inferential analysis with the variables in your data set.
Your will conduct a series of estimates and hypothesis tests. You will then conclude with a set of recommendations.
The format for your briefing memo is similar to Unit1. Instructions are included in Step B of these instructions. Your memo, including all written analysis, R-code, and output from your code will be submitted as an R Markdown notebook file with HTML output. Your project team will submit both the R Markdown notebook file and the HTML file that is generated from the template. There will be only one submission per team.
Analysis The written analysis should include any summary numerical and graphical output for the analysis, neatly displayed and labelled. Be sure to respond to the questions given with each analysis in Table A. Use full sentences. Remember, you are explaining your results to Dr. Random. As you discuss each analysis, be sure to interpret what you are finding in the context of your particular data situation.
Individual Analyses
Table A presents the list of the analyses that will be included in your briefing memo. The R code and discussion/interpretation text will be incorporated into the SINGLE R Markdown, properly annotatedandcommentedwherenecessary.
| Inference with Two Categorical Variables | a. Confidence Interval: Choose two categorical variables and construct a 99% confidence interval for the difference in proportions. Be sure to eliminate all missing or NA values before doing your analysis. DO NOT REPLACE THEM WITH ZEROS.
You may need to create a new variable that reclassifies the original so that it only has |
Explain which variable is the explanatory variable and which is the response. Your choice must make logical sense in the context of the dataset. Clearly identify the parameter and give a correct interpretation for the confidence interval. Discuss the limitations of your CI analysis. |
| two categories. If so, be sure to explain your reclassification(s).
Show whether the response variable meets the CLT conditions. Display both appropriate numerical summaries and graphs to justify your statement. Clearly identify the parameter and give a correct interpretation for the confidence interval. b. Hypothesis Test: For two categorical variable, perform a hypothesis test for the difference in the proportions at a significance level consistent with your confidence interval. Determine whether your data meets the conditions to perform a test using the normal distribution. Display both appropriate numerical summaries and graphs to justify your statement, as appropriate. |
IN WORDS, STATE A CREDIBLE null and alternative hypothesis. It has to make sense for your data. In your written analysis, indicate whether you are using a one-tail or two tail test (and why). Cite your test statistic, p-value, and state whether or not you reject the null hypothesis. Then give a conclusion in the context of the problem. Do the results of the confidence interval corroborate the conclusions of the hypothesis test? Explain why/how or why not. Discuss any limitations to your analysis due to sampling bias, outliers in the data, or other issues that you notice. |