Lecture

Statistical Modeling: Estimation and Hypothesis Testing

In course

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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.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_lo0iey32

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics, Statistical hypothesis testing

Industrial and production engineering

Industrial processes: Machine tool

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