Statistical Inference: Estimation and Hypothesis Testing teaches how to draw conclusions about populations from sample data using confidence intervals and hypothesis tests.
You’ll learn large-sample Z-tests (means and proportions), small-sample t-tests and F-tests, and chi-square tests for categorical data through worked examples and practice.
Recommended background: basic probability, normal distribution, and fundamentals of sampling and estimation.
- Teacher: Saila Kumari Annareddy