Assignment Overview _final

Now that you have completed your initial EDA and basic hypothesis testing for specific variables, it's time to look deeper into the data to examine relationships between variables. You will also combine all the information you gathered about the data and write a final report.

Instructions

Using the dataset and what you learned about the data in Assignment 1, identify at least 2 -3 questions you have about the relationships between variables in the data. These questions should employ inferential statistics and regression testing to find answers. Then find the answer to the questions using hypothesis testing. Be sure that you employ scatterplots and linear regression.

For each test, document the dependent and independent variable, hypothesis testing steps and the results at each step. Finally, provide an analysis of the final results with an explanation of your interpretation.

NOTE: The final project does not require knowledge beyond correlation, but for those interested and capable of MV regression or going beyond expectations RAExperiment$Days is the response variable we are looking at

What to Submit

You must submit a 5-7 page report that includes:

A summary of your initial EDA

All the questions you explored (link these to your initial EDA. Why did you ask these questions?)

Your null and alternative hypotheses (including an explanation of how the hypothesis test was constructed)

Explanation of the hypothesis testing you completed

The results

Your interpretation of the results

NOTE: The final project does not require knowledge beyond correlation, but for those interested and capable of MV regression or going beyond expectations RAExperiment$Days is the response variable we are looking at

For this final submission you will submit:

A slide deck, directed at managers, explaining the results and supported by visualizations

A full report explaining your the steps you took in your analysis with interpretations and key insights. Visualizations, charts and tables should be placed in an appendix and reference in the report

Your R code.