Pie charts are the most common graph for categorical data.Dot plots, stem-and-leaf plots, and box plots are other options.There is a with fit option to see if the 68-95-99.7 rule applies. GraphĪlmost all of the graphs except for the graphical summary are found here. In particular, we will often turn on the variance. Use the statistics button to change what values are displayed. The by variables is an optional variable used to group the data. Used to summarize numerical data, find the mean, standard deviation, variance, etc. Unit 1: The Basics Stat » Basic Statistics » Display Descriptive Statistics This document is intended to get you to the right place in Minitab, not be a comprehensive guide of how to use it. However, you cannot conclude that the data do follow the specified distribution.Minitab Quick Reference Minitab Quick ReferenceĮach screen in Minitab has a help button you can click for additional help. P-value > α: Cannot conclude the data do not follow the specified distribution (Fail to reject H 0) If the p-value is larger than the significance level, the decision is to fail to reject the null hypothesis because you do not have enough evidence to conclude that your data do not follow the specified distribution. P-value ≤ α: The data do not follow the specified distribution (Reject H 0) If the p-value is less than or equal to the significance level, the decision is to reject the null hypothesis and conclude that your data do not follow the specified distribution. A significance level of 0.05 indicates that the risk of concluding the data do not follow the specified distribution-when, actually, the data do follow the specified distribution-is 5%. Usually, a significance level (denoted as α or alpha) of 0.05 works well. To determine whether the data do not follow the specified theoretical distribution, compare the p-value to the significance level.
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