Course Content

Course Content


Analysis of Variance (ANOVA) is a statistical technique used in experimental design. It is an extension of the t-test, which is used to compare the means and variances of two or more groups.

The analysis of variance (ANOVA) is a statistical method that divides a data set's observed aggregate variability into two parts: systematic components and random factors. Random factors have no statistical impact on the supplied data set, whereas systematic influences do.

The main and interaction effects of categorical factors on a continuous dependent variable are tested using analysis of covariance, which controls for the effects of selected other continuous variables that co-vary with the dependent. The "covariates" are the control variables.

Recommended Courses

Share With Friend

Have a friend to whom you would want to share this course?

Download LearnVern App

App Preview Image
App QR Code Image
Code Scan or Download the app
Google Play Store
Apple App Store
598K+ Downloads
App Download Section Circle 1
4.57 Avg. Ratings
App Download Section Circle 2
15K+ Reviews
App Download Section Circle 3
  • Learn anywhere on the go
  • Get regular updates about your enrolled or new courses
  • Share content with your friends
  • Evaluate your progress through practice tests
  • No internet connection needed
  • Enroll for the webinar and join at the time of the webinar from anywhere