This course is designed to teach the basic statistical concepts and tools needed for business applications and most Chicago Booth courses. The topics covered are (i) descriptive statistics and plots used to summarize data; (ii) random variables and expectation; (iii) models and inference, interpreting parameters, confidence intervals and p-values; (iv) linear regression. Time permitting we may also look at logistic and autoregression.
The course will follow the lecture notes written by the instructor. Optional textbooks will be suggested. R and Excel will be used for computing.
Grades will be based on homework, midterm, and a final exam.
Description and/or course criteria last updated: June 02 2023
