Inferential Statistics
QM-375 · Spring 2019-20 · University of Management and Technology
A second course in statistics focused on the theory and application of statistical inference. Students learn to draw conclusions from data using estimation, hypothesis testing, and regression, with applications to business and management contexts.
Role: Visiting Lecturer
Offered: Spring 2019–20
Topics Covered
- Sampling distributions and the Central Limit Theorem
- Point and interval estimation
- Hypothesis testing: one-sample and two-sample tests
- Chi-square tests for goodness of fit and independence
- Analysis of Variance (ANOVA)
- Simple and multiple linear regression
- Non-parametric methods