Presentation Template

STAT 3120Statistical Methods I

Data Analysis Project

• Overview of dataset• Descriptive statistics• Description of Sample• Non-Parametric Results• Ttest Results (if possible)• Conclusions

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

Descriptive Statistics

• For the quantitative variables, provide:– measurements of central tendency– measurements of variability– discuss/highlight any outliers– provide histograms/scatterplots as

appropriate

Descriptive Statistics

• For the qualitative variables, provide:– bar charts/column charts– stacked bar/column charts– contingency tables as appropriate

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.

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.

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.

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.

Inferential Statistics

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

Conclusions

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

STOP

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.