Confidence Intervals and Hypothesis Testing

In course

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Description

This lecture covers the construction and interpretation of confidence intervals, focusing on the relationship between confidence level and interval width. It also delves into hypothesis testing, explaining the concepts of null and alternative hypotheses, Type I and Type II errors, and the significance level. The lecture further explores the Receiver Operating Characteristic (ROC) curve and its application in assessing the performance of statistical tests. Examples are provided to illustrate the practical implications of confidence intervals and hypothesis testing in real-world scenarios.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_m25ephdd

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics, Statistical hypothesis testing, Bayesian statistics

Mathematics

Probability theory: Topics in probability theory

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