Lecture

Two-Sample T-Test

In course

Dolor enim excepteur cupidatat exercitation anim dolore minim cillum tempor anim. Fugiat ipsum ea id consectetur. Ad esse cupidatat qui aute deserunt velit officia et id cupidatat cillum proident mollit magna. Incididunt proident dolor quis officia velit aliqua mollit aliquip laboris.

Description

This lecture covers the two-sample t-test, used to compare means of two independent samples. The assumptions, hypothesis testing steps, and calculation of the test statistic are explained. An example with mouthwash usage and bacterial count is provided. The Welch test and the difference between statistical and practical significance are also discussed.

Official source

https://mediaspace.epfl.ch/media/0_9o888y9r

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Statistics

Statistical inference: Statistical hypothesis testing, Mathematical statistics

Related lectures (42)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.