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For drugs, P_value=0.1564, so we can conclude that the effect of drugs did not reach conventional levels of statistical significance. In this example, four different methods (Pillai's trace, Wilks' lambda, Hotelling's trace, and Roy's largest root) generate identical F statistics and probabilities. Origin uses a multivariate analysis to detect repeated-measures effects. You can refer to this help file for details of interpreting results of repeated measures ANOVA.
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Go to the worksheet ANOVATwoWayRM1, where the analysis results are listed.
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#Summary data two way anova in excel pro
Minimum Origin Version Required: Origin 8.6 Pro SR0 What you will learn In the following example, the two factors are the repeated measures factors. If any repeated factor is present, then the repeated measures ANOVA should be used.
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Two-Way Repeated Measures ANOVA designs can be two repeated measures factors, or one repeated measures factor and one non-repeated factor. Using a standard ANOVA in this case is not appropriate because it fails to model the correlation between the repeated measures, and the data violates the ANOVA assumption of independence. Similar to two-way ANOVA, two-way repeated measures ANOVA can be employed to test for significant differences between the factor level means within a factor and for interactions between factors. "Repeated-measures" means that the same subject received more than one treatment and/or more than one condition. For Two-Way Repeated Measures ANOVA, "Two-way" means that there are two factors in the experiment, for example, different treatments and different conditions.