This is our 8th meeting on Advanced Data Analysis in R programming. This YouTube is 2 of 2 recorded videos from a 2-day Academic Seminar (organized by NUGSA - Shangai, China) on statistics & the use of statistical software for academic research. The video from Day 2 will follow next in a different YouTube video. Please subscribe to the YouTube Channel, like the video and share with your contacts as well. God bless you for that. R script & its Jupyter notebook HTML file, slide and data (MurderRates.csv) are already uploaded on Piazza Resource section.
Below summarizes the content of this YouTube video (from an Academic Seminar organized by NUGSA- Shangai, dated November 30, 2020): The goal is to find out the Determinants of Murder Rates in the United States based on existing empirical data in R.
Add a new categorical variable called income level with levels Low level if income is less than 1.5 (in thousand), Medium level if income is from 1.5 but less than 2 (in thousand) and High level if greater or equal to 2 (in thousand).
Compute descriptive summaries of all the 8 variables with appropriate graphs
Perform correlation analysis based on all the numerical variables with informative correlation matrix plots
Find the relationship between the income level and their residential status (whether in the southern area or not). NB: A Chi-square test, in this case, is both variables are categorical.
Fit a regression model to find out the Determinants of Murder Rates.
Comments