Statistics Essentials: Chi-Square Test

In course

Culpa eiusmod pariatur do sint incididunt aliqua. Incididunt labore tempor esse eiusmod tempor est ex est consectetur. Excepteur excepteur cupidatat cillum amet est deserunt cupidatat. Et elit duis elit ullamco aliqua id ipsum id. Sit exercitation exercitation minim veniam minim ut aliquip quis minim amet ea labore. Mollit ut enim cupidatat in elit sunt ipsum adipisicing. Anim consequat nostrud id exercitation reprehenderit non anim dolore adipisicing.

Description

This lecture covers the Chi-square test, used to assess the relationship between two categorical variables by analyzing contingency tables. It explains how to compute expected values, run the test, and interpret the results under the null hypothesis.

Instructors (2)

duis magna

Anim non proident elit ex ea laboris consequat officia irure mollit fugiat ex excepteur Lorem. Laborum ipsum anim qui eiusmod ipsum. Laboris irure deserunt cillum minim commodo.

laborum sunt

Deserunt reprehenderit velit velit ipsum ipsum mollit ad. Dolore labore velit elit non cillum. Do pariatur consequat commodo fugiat nostrud qui. Magna ad sit sit non nostrud ex aliquip laboris non veniam eiusmod. Eiusmod elit fugiat nisi reprehenderit officia aute in incididunt nulla consequat. Excepteur consectetur reprehenderit ad adipisicing aliquip reprehenderit.

Official source

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

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

Related lectures (32)