MODULE: Exposure to Math, Probability and Statistics 2 This course presents elementary topics in data analysis through regression. Key Topics: -Probability
-Confidence Intervals
-Hypothesis Testing
-Simple OLS Regression Specific Objectives: After completing this module, participants should be able to: -Explain the difference between different types of probability distributions
-Calculate and interpret the confidence interval of different data types
-Create and interpret different types of hypothesis tests
-Prepare data for OLS regression analysis in R
-Describe the different assumptions of OLS regression
-Perform a simple OLS regression in R
-Interpret and present the results of simple OLS regression |