Learn to use Minitab to run ANOVA to compare more than two means. When comparing the performance of two or more groups, ANOVA uses sample data to evaluate and make inferences on whether population means are statistically different or not. Use Minitab to test the assumptions of normality and equal variances prior to using ANOVA. Generate residual plots to evaluate the validity of the model. Create interval plots and boxplots to illustrate the comparison of means across multiple groups. Learn to do all this with Minitab.
- [Voiceover] In this movie, I will show you how to compare…multiple means using ANOVA.…Open exercise file 04-04.…Here we have four office locations. A, B, C, D,…with processing times, and we are interested in comparing…the mean performance across these four offices.…So we need to run ANOVA.…Before we do that we have to test for normality…and equal variances.…Those are the two key assumptions in ANOVA.…For normality test, go to Graph, Probability Plot,…and the reason I chose this is because we have four groups,…or four data sets.…
Choosing Multiple I can showcase all four on one graph.…Okay, and there you have it.…With the Anderson-Darling tests and the p-value shown,…and the plots shown,…and here we see with the high p-values,…the data for each group is normal.…To test for equal variances, go up to Stat, ANOVA,…Test for Equal Variances.…And our data are in separate columns,…so let's choose that and highlight the four columns,…and select OK.…
Here we have the confidence intervals shown,…and the p-values shown for the multiple comparisons test,…
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
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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