Running Statistical Tests Using Generative AI Tools

Generative AI    |    Intermediate
  • 11 videos | 1h 27m 36s
  • Includes Assessment
  • Earns a Badge
Hypothesis testing is an important part of inferential statistics that involves assessing sample data to draw conclusions about a population parameter. Begin this course by exploring how hypothesis tests work, the results they generate, and how you interpret those results. You will learn how you set up the null and alternative hypotheses for tests and how to interpret the results which includes the test statistic and the p-value. Then you will discover the different types of t-tests, such as one-sample, two-sample, and paired samples. Finally, you will investigate the use of generative artificial intelligence (AI) tools to implement one-sample t-tests and interpret the results. At course completion, you will have a solid understanding of the basics of hypothesis testing and how prompt engineering can help you implement and interpret these statistical tests.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Provide an overview of hypothesis testing
    Recall how p-values work
    Interpret p-values using alpha levels
    Provide an overview of t-tests
    View assumptions of t-tests
  • Test data for normality with prompt engineering help
    Perform the one-sample t-test
    Perform two-sided and one-sided t-tests
    Perform the one-sample t-test end-to-end
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 46s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 11m 36s
    After completing this video, you will be able to provide an overview of hypothesis testing. FREE ACCESS
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    3.  P-values
    9m 27s
    Upon completion of this video, you will be able to recall how p-values work. FREE ACCESS
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    4.  P-value Interpretation Using Alpha Levels
    6m 39s
    After completing this video, you will be able to interpret p-values using alpha levels. FREE ACCESS
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    5.  T-tests
    7m 45s
    Upon completion of this video, you will be able to provide an overview of t-tests. FREE ACCESS
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    6.  Viewing One-sample T-test Assumptions
    7m 55s
    In this video, you will learn how to view assumptions of t-tests. FREE ACCESS
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    7.  Testing for Normality Using Prompt Engineering
    12m 56s
    Find out how to test data for normality with prompt engineering help. FREE ACCESS
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    8.  Running a One-sample T-test
    7m 55s
    During this video, discover how to perform the one-sample t-test. FREE ACCESS
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    9.  Running Two-sided and One-sided T-tests
    9m 32s
    Learn how to perform two-sided and one-sided t-tests. FREE ACCESS
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    10.  Running the End-to-end One-sample T-test
    9m 34s
    In this video, find out how to perform the one-sample t-test end-to-end. FREE ACCESS
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    11.  Course Summary
    2m 31s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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