Hypothesis Testing for Statistics & Econometrics

This video is on Hypothesis Testing which is a quintessential part of any course in Statistics or Econometrics. I have used D.N . Gujarati & Porter's: Essentials of Econometrics - Appendix D to explain this topic.

I have gone through the following topics in this video:
1. Problem of Estimation & Hypothesis Testing
2. Estimation of Parameters: (say Population mean via sample mean):
a. Point Estimates
b. Interval Estimation
3. Properties of Estimators: Linearity, Unbiased-ness, Minimum Variance, Efficiency (BLUE) & Consistency
4. Approaches to Hypothesis Testing
a. Confidence Interval Approach
b. Test of Significance & Concept of P Value
5. Errors in Testing: Type 1 Error vs Type 2 Error

This discussion would be extremely critical for our discussion on estimation of parameters in regression analysis (Chapter 3 of D.N. Gujarati), therefore should be covered properly for any student who is attempting a course in Econometrics.

Also, the concepts discussed are often asked in UGC NET, Indian Economic Services, & other entrance examinations as well as interviews (esp. MBA interviews).

My Best Wishes & Happy Learning :)
The Pink Professor
(Siddharth Rathore)
Assistant Professor
Department of Economics
Gargi College
University of Delhi