Prompt Engineering for Hypothesis Testing
Generative AI
| Intermediate
- 13 videos | 1h 58m 55s
- Includes Assessment
- Earns a Badge
T-tests and analysis of variance (ANOVA) are statistical methods used to compare means between groups and assess whether observed differences are statistically significant. In this course, you will perform two-sample t-tests, comparing two independent groups to determine if the difference between their means is statistically significant. You will use ChatGPT and Google Bard to help ensure that your samples meet the assumptions of the t-test. Then you will visualize and interpret the characteristics of your data and run the right variation of the t-test based on your data. Next, you will run a paired sample t-test with help from generative artificial intelligence (AI) tools. Finally, you will use ANOVA to compare multiple samples simultaneously, use prompt engineering to determine when to use ANOVA, and use post-hoc analysis after running ANOVA to identify which groups or categories are significantly different. After completing this course, you will have a solid understanding of t-tests and ANOVA, and be able to leverage Generative AI tools to help you with your analysis.
WHAT YOU WILL LEARN
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Discover the key concepts covered in this course
Provide an overview of two-sample t-tests
Test data for normality
Test data for equal variances using generative artificial intelligence (ai)
Use prompt engineering to interpret results of the two-sample t-test
Run welch's t-test
Provide an overview of the paired samples t-test -
Test the assumptions of the paired samples t-test
Run the paired samples t-test
Provide an overview of anova
Test assumptions of an anova
Run anova and tukey honestly significant difference (hsd) tests
Summarize the key concepts covered in this course
IN THIS COURSE
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2m 4sIn this video, we will discover the key concepts covered in this course. FREE ACCESS
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9m 24sAfter completing this video, you will be able to provide an overview of two-sample t-tests. FREE ACCESS
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3. Testing Data for Normality10m 54sIn this video, find out how to test data for normality. FREE ACCESS
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4. Testing for Equal Variances with Generative AI Help10m 55sLearn how to test data for equal variances using generative artificial intelligence (AI). FREE ACCESS
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5. Using ChatGPT to Interpret Results of the Two-sample T-test11m 1sDuring this video, discover how to use prompt engineering to interpret results of the two-sample t-test. FREE ACCESS
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6. Implementing Welch's T-test for Unequal Variances11m 49sLearn how to run Welch's t-test. FREE ACCESS
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7. Using the Paired Samples T-test7m 48sAfter completing this video, you will be able to provide an overview of the paired samples t-test. FREE ACCESS
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8. Performing the Paired Samples T-test12m 36sIn this video, find out how to test the assumptions of the paired samples t-test. FREE ACCESS
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9. Running an End-to-end Implementation of the Paired Samples T-test6m 23sDuring this video, you will learn how to run the paired samples t-test. FREE ACCESS
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10. Analysis of Variance (ANOVA)6m 29sUpon completion of this video, you will be able to provide an overview of ANOVA. FREE ACCESS
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11. Testing Assumptions of an ANOVA13m 40sDiscover how to test assumptions of an ANOVA. FREE ACCESS
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12. Performing ANOVA and the Tukey Test with ChatGPT's Help12m 44sFind out how to run ANOVA and Tukey honestly significant difference (HSD) tests. FREE ACCESS
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13. Course Summary3m 8sIn this video, we will summarize the key concepts covered in this course. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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