# Statistical & Hypothesis Tests: Performing Two-sample T-tests & Paired T-tests

Statistics    |    Expert
• 14 Videos | 2h 5m 38s
• Includes Assessment
In situations where two independent samples are drawn from different populations or where paired samples are available, such as in a before-after scenario, two-sample and paired T-tests are needed, respectively. Use this course to explore how two-sample T-tests can be used to test the null hypothesis that two independent samples have drawn from populations with equal means. You'll examine type I and type II errors and the use of paired samples T-tests. By the time you finish this course, you will be able to test whether two samples - either drawn independently or explicitly linked - are drawn from populations with equal means.

## WHAT YOU WILL LEARN

• discover the key concepts covered in this course recall the assumptions of the two-sample T-test use Levene’s test to check for equal variances use the two-sample T-test to compare means recognize when the Welch’s T-test should be used use the Welch’s T-test to compare means describe type I and type II errors
• outline the relationship between type I errors and alpha levels outline the relationship between type II errors and alpha levels set up and visualize data for the paired difference T-test perform the paired T-test on paired samples use the paired T-test to compare before and after values perform paired T-tests with varying outcomes for the null hypothesis summarize the key concepts covered in this course

## IN THIS COURSE

• 1.
Course Overview
• 2.
Introducing the Two-sample T-test
• 3.
Performing Levene's Test
• 4.
Comparing Means Using the Two-sample T-test
• 5.
Understanding Welch's T-test
• 6.
Comparing Means Using Welch's T-test
• 7.
Understanding Type I and Type II Errors
• 8.
Exploring Type I Errors and Alpha Levels
• 9.
Exploring Type II Errors and Alpha Levels
• 10.
Introducing the Paired Difference T-test
• 11.
Preparing Data for the Paired T-test
• 12.
Using Paired T-tests
• 13.
Comparing Before and After Data with Paired T-tests
• 14.
Course Summary

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