Quantitative Data Analysis for Management Sciences

Descriptive statistics and probability concepts; discrete and continuous probability distributions; sampling methods and the central limit theorem; estimation and confidence intervals; inference and hypothesis testing; linear regression and correlation; multiple regression and model building. Typical terms may not reflect online offerings.  

 

Note: Check with the institution regarding start/end dates, prices, and delivery method. These may vary according to program, section, and/or semester.