AI Engineer - Learn how to integrate AI into software applications
All Coursera Certificates 40% Off
Overview
Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
This 13-minute video introduces the Chi-squared distribution, explaining how it represents the distribution of Z=X² when X is a Gaussian random variable. Learn why this statistical concept is crucial for comparing distributions and determining if data aligns with a given distribution. Follow along as the instructor calculates both the cumulative distribution function (CDF) and probability density function (PDF) of the Chi-squared distribution through detailed mathematical derivations. The content progresses from a basic introduction to more complex calculations, making it valuable for students studying statistics or data analysis. Produced at the University of Washington with funding from the Boeing Company, this educational resource provides a concise yet thorough explanation of a fundamental statistical concept used in hypothesis testing and data analysis.
Syllabus
00:00 Intro
01:20 The Chi Squared Distribution
02:40 Calculating the CDF of Chi Squared
06:08 Calculating the PDF of Chi Squared
11:54 Outro
Taught by
Steve Brunton