Statistics Analysis and Decision Theory

Choose any dataset you are comfortable with. No data is needed. Free to use anything of interest.

Find and use any open source dataset that is of interest to you for a case study of your design.

Potential datasets are NYC Open Data, statsmodels, Machine Learning Repository

The dataset must be reproducibly linked

Perform exploratory data analysis

Such as visualization between variables of the distribution, frequency charts, bar charts, scatter plots, etc.

Explore and test at least 1 hypothesis and provide supporting evidence to accept or reject the hypothesis.

Apply at least 1 method of inferential statistics

Such as control charts, confidence intervals, tests for the mean, Chi-square tests, ANOVA, etc.

Submit the case study as a Colab notebook with markdown that outlines the steps, logic, and insight to be drawn from the case study.