Prompt Engineering for Hypothesis Testing

Generative AI    |    Intermediate
  • 13 videos | 1h 58m 55s
  • Includes Assessment
  • Earns a Badge
Rating 5.0 of 1 users Rating 5.0 of 1 users (1)
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

  • 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

  • 2m 4s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 9m 24s
    After 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 Normality
    10m 54s
    In this video, find out how to test data for normality. FREE ACCESS
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    4.  Testing for Equal Variances with Generative AI Help
    10m 55s
    Learn 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-test
    11m 1s
    During 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 Variances
    11m 49s
    Learn how to run Welch's t-test. FREE ACCESS
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    7.  Using the Paired Samples T-test
    7m 48s
    After 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-test
    12m 36s
    In 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-test
    6m 23s
    During 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 29s
    Upon 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 ANOVA
    13m 40s
    Discover how to test assumptions of an ANOVA. FREE ACCESS
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    12.  Performing ANOVA and the Tukey Test with ChatGPT's Help
    12m 44s
    Find out how to run ANOVA and Tukey honestly significant difference (HSD) tests. FREE ACCESS
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    13.  Course Summary
    3m 8s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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