T-tests

T-tests are a type of hypothesis test used in statistics to determine if there is a significant difference between the means of two groups. The test is based on the t-distribution and requires that the data be normally distributed. There are two types of t-tests: the independent samples t-test, which compares the means of two independent groups, and the paired samples t-test, which compares the means of two related groups. T-tests are commonly used in data science to compare the performance of different models or to determine if there is a significant difference between two sets of data.

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T-tests

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