Lecture

Statistical Modeling: Estimation and Hypothesis Testing

Description

This lecture covers statistical modeling, estimation of unknown parameters, Central Limit Theorem, confidence intervals, and hypothesis testing steps. It also explains the Student's t distribution, t-test, and comparison of two independent samples. Examples include estimation of energy intake and energy expenditure for different groups.

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