t-Test - Full Course - Everything you need to know

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DATAtab

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What is a t-test and when is it used? What types of t-tests are there? What are hypotheses and prerequisites in a t-test? How is a t-test calculated and how are the results interpreted?
The t-test is a statistical test procedure and checks whether there is a significant difference between the means of two groups.
There are three types of t-test: the one-sample t-test, the independent samples t-test and the paired samples t-test. We go through all three types in this video.
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► t-Test for independent samples:
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► t-Test for dependent samples:
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Levene's test:
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0:00 What does this video teach you about the t-test?
0:20 What is a t-test?
0:54 Types of t-Test
1:06 What is a t-test for one sample?
1:45 What is a t-test for independent samples?
2:28 What is a t-test for paired samples?
3:04 What is the difference between a dependent sample and an independent sample?
3:22 One sample t-test and the relationship to paired sample t-test.
4:08 What are the assumptions for a t-test?
5:15 What are the hypotheses in the t-test?
6:17 What do you need a t-test for?
7:25 How is a t-test calculated?
9:42 What does the p-value tell us about the t-test?
10:19 What is the significance level in a t-test?
11:03 How do I read the critical t-value?
13:12 Calculating the p-value for a t-test
13:50 Calculating a t-test online with DATAtab
14:17 Interpreting the results of the t-test
14:43 What is the difference between a one-sided and a two-sided t-test?

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