STATISTICAL TECHNIQUES AND TOOLS
ANALYSIS OF VARIANCE
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Analysis of Variation
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Analysis of Variance
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Analysis of Variability
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A Non-Visual Analysis
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Detailed explanation-1: -Analysis of Variance (ANOVA) is a statistical formula used to compare variances across the means (or average) of different groups. A range of scenarios use it to determine if there is any difference between the means of different groups.
Detailed explanation-2: -ANOVA provides an analytical study for testing the differences among group means and thus generalizes the t-test beyond two means. ANOVA uses F-tests to statistically test the equality of means. Variance is an important tool in the sciences including statistical science.
Detailed explanation-3: -One-Way ANOVA ("analysis of variance") compares the means of two or more independent groups in order to determine whether there is statistical evidence that the associated population means are significantly different. One-Way ANOVA is a parametric test. This test is also known as: One-Factor ANOVA.
Detailed explanation-4: -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.