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Sagot :
Analysis of variance is a methodology for drawing conclusions about the equality of means of multiple populations.
What is meant by Analysis of variance?
- 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.
- Analysis of variance (ANOVA) is a collection of statistical models and their associated estimation procedures (such as the "variation" among and between groups) used to analyze the differences among means.
- ANOVA was developed by the statistician Ronald Fisher.
- ANOVA is based on the law of total variance, where the observed variance in a particular variable is partitioned into components attributable to different sources of variation.
- In its simplest form, ANOVA provides a statistical test of whether two or more population means are equal, and therefore generalizes the t-test beyond two means.
To learn more about the Analysis of variance, refer
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