1. Presentation Template STAT 3120 Statistical Methods I

2. Data Analysis Project Overview of dataset Descriptive statistics Description of Sample Non-Parametric Results Ttest Results (if possible) Conclusions

3. Overview of dataset Provide a few key points here regarding your data: –Show the dataset –Provide the source –Why did you find it interesting –Explain the variables

4. Descriptive Statistics For the quantitative variables, provide: –measurements of central tendency –measurements of variability –discuss/highlight any outliers –provide histograms/scatterplots as appropriate

5. Descriptive Statistics For the qualitative variables, provide: –bar charts/column charts –stacked bar/column charts –contingency tables as appropriate

6. Descriptive Statistics For all of your graphics, provide a “tag line” that highlights the main point. Ensure that on all of your graphics, you include a “n=“ footnote and a source footnote.

7. Sample Description Take a random sample of size 20. Provide a table comparing the sample to the population dataset. Be prepared to highlight any differences…and explain why they might exist.

8. Inferential Statistics Develop a hypothesis statement (and the null) for testing. Provide your declaration of alpha (and why), the 2x2 matrix for testing, explanation of Type 1 and Type 2 errors.

9. Inferential Statistics Execute the non-parametric test (most likely the Wilcoxon Rank Sum test); Provide the results; Provide the power of the test; Provide your conclusion.

10. Inferential Statistics If possible, using the larger dataset, perform a ttest, following the same instructions as provided for a non- parametric test.

11. Conclusions Provide any additional information/learnings/comments on your analysis or on your dataset.

12. STOP

13. Support Slides Include the messy statistical stuff in these slides…you would never present these proactively, but should have them to answer esoteric questions regarding things like p-values, normality, etc.