Lecture

Statistical Inference: Confidence Intervals

Description

This lecture covers the construction of approximate confidence intervals using the central limit theorem for large sample sizes. It explains how most statistics based on means of variables follow normal distributions for large n. It details the process of constructing approximate confidence intervals, including the choice of confidence levels and the use of quantiles. Examples are provided to illustrate the application of these concepts in practice.

Instructors (2)

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Official source

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics, Statistical hypothesis testing

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