In this lecture, I explain the foundations of hypothesis testing in Econometrics in a simple and intuitive way.
We cover:
• Null and alternative hypotheses
• Significance levels (α)
• P-values
• Type I and Type II errors
• Decision rules in hypothesis testing
• Real intuition behind statistical testing
This lecture is designed for University of London EMFSS students studying Econometrics, but it will also help anyone learning introductory statistics or econometrics.
The goal is to build strong intuition instead of just memorizing formulas.
Time Stamps
00:00 Introduction
00:03 Hypothesis Testing
08:24 Significance levels
18:05 p-values
23:20 Type 1 & 2 error
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