Number of groupsNumber of groups | ||
Sample size 1Sample size 1 | ||
Sum of values in factor 1Sum of values in factor 1 | ||
Sum of squared values in factor 1Sum of squared values in factor 1 | ||
Sample size 2Sample size 2 | ||
Sum of values in factor 2Sum of values in factor 2 | ||
Sum of squared values in factor 2Sum of squared values in factor 2 | ||
Sample size 3Sample size 3 | ||
Sum of values in factor 3Sum of values in factor 3 | ||
Sum of squared values in factor 3Sum of squared values in factor 3 | ||
Sample size 4Sample size 4 | ||
Sum of values in factor 4Sum of values in factor 4 | ||
Sum of squared values in factor 4Sum of squared values in factor 4 | ||
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UUID | 42b6842c-36eb-11e6-9770-bc764e2038f2 |
Analysis of Variance (ANOVA) evaluates mean differences between two or more treatments or populations (Gravetter and Wallnau, 2013). Functionally, it performs the same kind of analysis as a t-test, but the advantage of an ANOVA is that an ANOVA can compare more than two groups at once, whereas a t-test is limited to two groups.
Below are variations on the ANOVA for different groups.
Below are various calculators that supply descriptive statistics for sets of data. It is compatible with groups between n=6 and n=12.
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