Use to determine the sample size required to achieve a specific margin of error for confidence intervals or tolerance intervals. Conversely, you can estimate the margin of error based on sample size.
Use hypothesis tests to determine whether a population parameter differs from either a specified value or a different population parameter.
Examine the relationship between power, sample size, and difference for a 1-sample Z-test. In Minitab, choose
.Use a 1-sample z-test when you know the standard deviation of the population.
Examine the relationship between power, sample size, and difference for a 1-sample t-test. In Minitab, choose
.Examine the relationship between power, sample size, and difference for a 2-sample t-test. In Minitab, choose
.Examine the relationship between power, sample size, and difference for a paired t-test. In Minitab, choose
.Examine the relationship between power, sample size, and comparison proportion for a 1 proportion test. In Minitab, choose
.Examine the relationship between power, sample size, and comparison proportion for a 2 proportions test. In Minitab, choose
.Examine the relationship between power, sample size, and comparison rate for a 1-sample Poisson rate test. In Minitab, choose
.Examine the relationship between power, sample size, and comparison rate for a 2-sample Poisson rate test. In Minitab, choose
.Examine the relationship between power, sample size, and ratio for a 1 variance test. In Minitab, choose
.Examine the relationship between power, sample size, and ratio for a 2 variances test. In Minitab, choose
.Use equivalence tests to determine whether the means for product measurements or process measurements are close enough to be considered equivalent.
Use to perform a power and sample size analysis on a one-way ANOVA or a DOE analysis.
Examine the relationship between power, sample size, and maximum difference for one-way ANOVA. In Minitab, choose
.