This comprehensive course covers fundamental concepts of statistical inference, including population and sample theory, estimation techniques, and hypothesis testing procedures. Students will learn to apply large-sample and small-sample tests (Z-test, t-test, F-test, Chi-square test) to real-world problems, construct confidence intervals, and make data-driven decisions using statistical methods.
- Teacher: Saila Kumari Annareddy