Many statistical tests require the assumption of Normality where continuous data is assumed to be Normally distributed with a bell shape curve. Not all continuous data follow a Normal distribution. Testing the Normality assumption is required in tests such as the 1-sample t and 2-sample t tests and ANOVA or Analysis of Variance. Learn how to test that assumption and create probability plots to test for Normality using Minitab. Testing for Normality is essential before deciding on the appropriate statistical test to use.
- [Voiceover] In this movie, I will show you how…to run the Normality test using Minitab.…Open exercise file, 04-01.…Here we have three sets of data - A, B, and C,…and we would like to check whether the data is…normally distributed or follows a normal distribution.…To do that, go to Stat, Basic Statistics,…and Normality Test.…We have to do each one, in turn.…Let's choose A first,…and we can run the Anderson-Darling test…or if you prefer the Ryan-Joiner or the K-S test.…
You can choose the others as well.…OK, and there you have it.…The P-value for the Anderson-Darling test…is shown here, 0.751,…which means that the data is normal,…and the blue dots would reside exactly…on the red line if it was perfectly normal.…We can do the same for B and C.…However, there is a short-cut I'd like to share with you…where you can do all three graphs on one graph panel.…To do that, you want to do Graph, Probability Plot,…Multiple graphs because we're doing all three.…
Click OK.…And which three are we doing?…These three.…Select, and OK.…
Dr. Richard Chua shows how to import and organize data; open, save, and share Minitab worksheets and projects; create graphs and charts; and use descriptive statistics and statistical tests in Minitab to make inferences and data-driven decisions. Then learn how to make inferences on continuous data—running normality tests, variance tests, correlations, and simple regression tests. Finally, discover how to share your findings with others using reports and simple copy-and-paste techniques. Start watching to learn why Minitab is one of the world's most popular statistical software tools.
- Inputting data in Minitab
- Creating display graphs and charts, including bar and Pareto charts and scatterplots
- Describing data with statistics
- Comparing variance, multiple means, and medians
- Running multiple regression tests
- Comparing proportions
- Saving worksheets and Minitab projects
- Sharing your work and generating reports
Skill Level Appropriate for all
Operational Excellence Foundationswith Richard Chua1h 32m Appropriate for all
Data Visualization for Data Analystswith Bill Shander1h 31m Beginner
1. Minitab Overview
2. Display Graphs and Charts
3. Describe Data with Statistics
4. Inferences on Continuous Data
5. Inferences on Categorical Data
6. Save and Share Your Work
Share outputs1m 7s
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