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This video explains the purpose of t-tests, how they work, and how to interpret the results.For a simple explanation of Chi-Squares, visit: https://www.youtu This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License 2020-06-29 · t-test critical values.

What is a t test

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A t-test (also known as Student's t-test) is a tool for evaluating the means of one or two Essentially, a t-test is used to compare two samples to determine if they came from the same population. Whenever we draw a sample from the population, we can reasonably expect that the sample A t-test is commonly used to determine whether the mean of a population significantly differs from a specific value (called the hypothesized mean) or from the mean of another population. T-tests are handy hypothesis tests in statistics when you want to compare means.

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This test is also known as: Independent t Test; Independent Measures t Test; Independent Two-sample t Test The two-sample t -test (also known as the independent samples t -test) is a method used to test whether the unknown population means of two groups are equal or not. Is this the same as an A/B test? Yes, a two-sample t -test is used to analyze the results from A/B tests. When can I use the test? A T-Test is a hypothesis testing tool used to test an assumption of a given population. It is a type of inferential statistics used to determine the significant difference between the means of two groups with similar features.