Select the analysis options for One-Way ANOVA

Select Assume equal variances to assume that all populations have equal variances. If you do not assume equal variances, Minitab performs Welch's ANOVA test. One-way ANOVA with equal variances is slightly more powerful than Welch's ANOVA, but serious error can result if the variances are not equal. Use the Test for Equal Variances to determine whether or not the populations have equal variances.

Enter the level of confidence for the confidence intervals for the coefficients and the fitted values.

Usually, a confidence level of 95% works well. A 95% confidence level indicates that, if you took 100 random samples from the population, the confidence intervals for approximately 95 of the samples would contain the mean response. For a given set of data, a lower confidence level produces a narrower interval, and a higher confidence level produces a wider interval.

You can select a two-sided interval or a one-sided bound. For the same confidence level, a bound is closer to the point estimate than the interval. The upper bound does not provide a likely lower value. The lower bound does not provide a likely upper value.