What's an independent t-test?

An independent t-test is appropriate when you want to compare the the means for two independent groups. True or false?

This exercise is part of the course

Intro to Statistics with R: Student's T-test

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True,False

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This exercise is part of the course

Intro to Statistics with R: Student's T-test

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The first part covers z-tests, single sample t-tests, and dependent t-tests. You will learn when to use a z-test, when to use a t-test, and how you can calculate the corresponding test statistic. The focus is on understanding how t-tests are constructed, the intuition and interpretation behind them, and how R can help you to do t-tests more easily.

Exercise 1: Statistical tests to compare means Exercise 2: Polling liberals and conservatives Exercise 3: More political polls Exercise 4: Sampling distributions (1)Exercise 5: Significance tests Exercise 6: What's a summary statistic?Exercise 7: Sampling distributions (2)Exercise 8: Single sample t-tests Exercise 9: Understanding the t-distribution Exercise 10: Dependent t-tests Exercise 11: The working memory dataset Exercise 12: Perform a dependent t-test Exercise 13: Perform a dependent t-test (2)Exercise 14: Compare the observed and critical t-values Exercise 15: Interpreting the effect size Exercise 16: Let R do the dirty work Exercise 17: Pop quiz!

The independent t-test is one of the most common statistical test that you will encounter. An independent t-test is appropriate when you want to compare two independent samples, so two completely different groups. Common examples are comparisons between men and women, or treatment group vs control group. The example used to explain the theory behind independent t-tests is the working memory training example.

Exercise 1: Independent t-tests (1)Exercise 2: What's an independent t-test?

Current Exercise

Exercise 3: What's a t-value?Exercise 4: Independent t-tests (2)Exercise 5: Preliminary statistics Exercise 6: Interpreting Levene's test Exercise 7: Perform an independent t-test Exercise 8: Perform an independent t-test (2)Exercise 9: Interpreting the p-value Exercise 10: Interpreting the effect size Exercise 11: Independent t-tests, the easy way Exercise 12: Understanding Cohen's d Exercise 13: How many degrees of freedom?