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What is a t-test and when is it used? What types of t-tests are there? What are the hypotheses and prerequisites of 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 t-test for one sample, the t-test for independent samples and the t-test for dependent samples. We go through all three types in this video. ► t-test online calculator https://datatab.de/statistik-rechner/... ► t-test for a single sample tutorial: https://datatab.de/tutorial/einfacher... ► t-test for independent samples: https://datatab.de/tutorial/unabh%C3%... ► t-test for dependent samples: https://datatab.de/tutorial/abh%C3%A4... ► E-BOOK https://datatab.de/statistik-buch 0:00 What will you learn about the t-test in this video? 0:20 What is a t-test? 0:48 Types of t-test 1:00 What is a t-test for a single sample? 1:39 What is a t-test for independent samples? 2:21 What is a t-test for dependent samples? 2:57 What is the difference between a dependent sample and an independent one? 3:14 t-test for one sample and the connection to the t-test for dependent samples 3:56 What are the requirements for a t-test? 5:03 What are the hypotheses in the t-test? 6:07 What do you need a t-test for? 7:06 How is a t-test calculated? 9:11 What does the p-value tell us in the t-test? 10:05 What is the significance level in the t-test? 10:42 How do I read the critical t-value? 12:40 Calculate the p-value for a t-value (t-test) 13:15 Calculate the t-test online with DATAtab 13:40 Interpretation of the results of the t-test 14:01 What is the difference between a one-sided and a two-sided t-test?