Tutorial 22-Analysis Of Variance(ANOVA) and its types Part 1- Krish Naik Hindi

Analysis of variance (ANOVA) is an analysis tool used in statistics that splits an observed aggregate variability found inside a data set into two parts: systematic factors and random factors. The systematic factors have a statistical influence on the given data set, while the random factors do not. Analysts use the ANOVA test to determine the influence that independent variables have on the dependent variable in a regression study.
The t- and z-test methods developed in the 20th century were used for statistical analysis until 1918, when Ronald Fisher created the analysis of variance method.
ANOVA is also called the Fisher analysis of variance, and it is the extension of the t- and z-tests. The term became well-known in 1925, after appearing in Fisher's book, "Statistical Methods for Research Workers."
Ronald Fisher. "Statistical Methods for Research Workers." Springer-Verlag New York, 1992.
It was employed in experimental psychology and later expanded to subjects that were more complex.
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