Lecture

Probability and Statistics II: Estimation and Hypothesis Testing

Description

This lecture covers the Central Limit Theorem, confidence intervals, hypothesis testing for population mean, point estimation, qualities of estimators like bias and variance, and efficiency comparison of estimators. It emphasizes the importance of unbiased estimators.

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