Join Richard Chua for an in-depth discussion in this video Solution: Compare inferences on categorical data, part of Learning Minitab.
- [Voiceover] We have data on the three teams A, B, and C…and outcomes are result being late,…on time,…early,…and no show.…So, the tool to use will be…the Chi-Square Test for Association…to see if the result is dependent on team or not.…Stat, Tables,…Chi-Square Test for Association,…and our data is summarized in the two-way table.…Highlight the three teams.…And the row is Result.…And for the column,…we can name it,…just call it Team,…and click OK.…
And we have a p value of zero point eight six nine,…which means we failed to reject the null hypothesis…because it is greater than zero point zero five…and the null hypothesis is there is no association.…So, essentially,…the conclusion is it doesn't matter which team you select,…there is no association between the outcome and the team.…
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 Beginner
Data Visualization for Data Analystswith Bill Shander1h 31m Beginner
Cleaning Up Your Excel 2013 Datawith Dennis Taylor1h 59m Appropriate for all
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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