Two-way analysis of variance (2-way ANOVA) [between subjects]
Author: samesanExecutions: 18
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This program calculates the F-value and significance probability for a between-subjects “two-way ANOVA” for beginners in statistics.
This test examines the differences in mean values across multiple groups for a two-factor between-subjects design. The three null hypotheses are: “There is no main effect of Factor A,” “There is no main effect of Factor B,” and “There is no interaction.”
Please set the significance level before performing the test.
Once set, enter the number of levels for each factor, the total sample size, the total sample variance, and the mean values for each group, then click “Calculate.”
*This program cannot perform calculations if the sample sizes of the groups are unequal.
*Currently, the program supports up to 4 levels per factor.
* If a field appears for a group that does not exist, please enter 0.
* This program does not support sub-tests.
Please set the significance level before performing the test.
Once set, enter the number of levels for each factor, the total sample size, the total sample variance, and the mean values for each group, then click “Calculate.”
*This program cannot perform calculations if the sample sizes of the groups are unequal.
*Currently, the program supports up to 4 levels per factor.
* If a field appears for a group that does not exist, please enter 0.
* This program does not support sub-tests.
| Main effect of A: F( | , )= , p = |
| Main effect of B: F( | , )= , p = |
| Interaction: F( | , )= , p = |
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