Key Points Fisher’s 1-Way ANOVA is a basic statistical test for detecting differences in the means between two or more sample ...

Analysis of variance (ANOVA) is a statistical analysis tool that separates the total variability found within a data set into two components: random and systematic factors.

This article will cover the theory underpinning multivariate analysis of variance (MANOVA), which expands on the capabilities of ANOVA, the types of MANOVA and a worked example of the test.

ANOVA is closely related to the t-test. The t-test determines if the population means of exactly two groups are equal, in situations where you only have sample data.

Analysis of variances (ANOVA) is a statistical examination of the differences between all of the variables used in an experiment.

For example, Anova's app doesn't make time and temperature recommendations based on how thick your cut of meat is. I sometimes found myself cross-referencing the Joule app just for that.

Course TopicsThis short course will cover the one sample t-test, the two sample t-test, matched-pairs t-test, one-way ANOVA (Analysis of Variance), two-way ANOVA and ANCOVA (Analysis of Covariance).