One-way Analysis of Variance (ANOVA) - 3 Groups
`F = "variance between treatments" / "variance within treatments"`
`"Number of groups"` | ||
`"Sample size 1"` | ||
`"Standard deviation of sample 1"` | ||
`"Sum of values in sample 1"` | ||
`"Sample size 2"` | ||
`"Standard deviation of sample 2"` | ||
`"Sum of values in sample 2"` | ||
`"Sample size 3"` | ||
`"Standard deviation of sample 3"` | ||
`"Sum of values in sample 3"` | ||
Tags | |
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.
Changing Number of Groups
Below are variations on the ANOVA with different groups.
Computing Standard Deviation and Sum of Values
Below are various calculators that supply descriptive statistics for sets of data. It is compatible with sample sizes between n=6 and n=12.
References
Gravetter, F. J., & Wallnau, L. B. (2013). Statistics for the Behavioral Sciences. Wadsworth, CA: Cengage Learning.
