1. Find a dataset that you would like to use. This dataset should include at least three numerical variables and two categorical variables. You are allowed to use or collect your data. Preprocess the data before the analysis. Explain how and where you retrieved your sample (Data). US Police Shootings | Kaggle
2. Employ descriptive and frequency analysis and report the results to a formatted table.
3. Employ correlation analysis and report the results to a formatted table.
4. Propose a hypothesis that might employ a cross table with the chi-square test.
5. Propose a hypothesis that might employ a parametric or non-parametric test to investigate the comparison of a variable between groups (It can be two groups, three, or more groups).
6. Propose a multiple regression model that will investigate the impact of the proposed independent variables on the proposed dependent variables. Investigate this proposed model thoroughly.
7. Propose a logistic regression model that will investigate the impact of the proposed independent variables on the proposed dependent variables. Investigate this proposed model thoroughly.
8. After analyzing the data using the analysis tools, report the results using formatted tables and interpret the analysis results in a single write-up file.
9. Add Introduction and Summary sections in the write-up.
10. Upload a) the data file, b) all the analysis outputs, c) and the TERM PROJECT WRITE-UP.
