Running Statistical Tests Using Generative AI Tools

Generative AI    |    Intermediate
• 11 videos | 1h 27m 36s
• Includes Assessment
Rating 5.0 of 1 users (1)
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

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

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