Complete the following steps to interpret One-Way ANOVA. Key output includes the p-value, the graphs of groups, the group comparisons, R 2, and the residual plots.

What is ANOVA? Analysis of variance (ANOVA) tests the hypothesis that the means of two or more populations are equal. ANOVAs assess the importance of one or more factors by …

To ensure that your results are valid, consider the following guidelines when you collect data, perform the analysis, and interpret your results. The data should include only one categorical …

For Welch's ANOVA, Minitab uses the degrees of freedom for the denominator to calculate the probability of obtaining an F value that is at least as extreme as the observed F value.

One-way ANOVA is a hypothesis test that evaluates two mutually exclusive statements about two or more population means. These two statements are called the null hypothesis and the …

The balanced ANOVA model for three or more factors is a straightforward extension of a two-way analysis of variance model. A three-factor balanced ANOVA model with factors A, B, and C is:

To determine how well the model fits your data, examine the goodness-of-fit statistics of the One-Way ANOVA. Find definitions and interpretation guidance for the goodness-of-fit statistics …

Complete the following steps to interpret a fully nested ANOVA. Key output includes the p-value and the variance components.

Used in hypothesis tests to help you decide whether to reject or fail to reject a null hypothesis. The p-value is the probability of obtaining a test statistic that is at least as extreme as the …

In ANOVA, the entire response column is typically nonnormal because the different groups in the data have different means. If the data for each individual group follow a normal distribution, …