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  2. www.scribbr.com › statistics › t-testAn Introduction to t Tests | Definitions, Formula and Examples

    Jan 31, 2020 · When to use a t test. A t test can only be used when comparing the means of two groups (a.k.a. pairwise comparison). If you want to compare more than two groups, or if you want to do multiple pairwise comparisons, use an ANOVA test or a post-hoc test.

  3. statisticsbyjim.com › hypothesis-testing › t-testT Test Overview: How to Use & Examples - Statistics By Jim

    One-sample: Compares a sample mean to a reference value. Two-sample: Compares two sample means. Paired: Compares the means of matched pairs, such as before and after scores. In this post, you’ll learn about the different types of t tests, when you should use each one, and their assumptions.

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  5. www.datacamp.com › tutorial › t-test-vs-z-testT-test vs. Z-test: When to Use Each - DataCamp

    Aug 15, 2024 · The main difference is that a t-test is used for small sample sizes (n <30) or when the population variance is unknown and uses the t-distribution. A Z-test is used for large sample sizes ( n>30) with known population variance and relies on the normal distribution.

  6. www.graphpad.com › the-ultimate-guide-to-t-testsThe Ultimate Guide to T Tests - GraphPad

    When should I use a t test? A t test is appropriate to use when you’ve collected a small, random sample from some statistical “population” and want to compare the mean from your sample to another value. The value for comparison could be a fixed value (e.g., 10) or the mean of a second sample.

  7. towardsdatascience.com › t-test-and-hypothesisT-test and Hypothesis Testing (Explained Simply)

    Aug 5, 2022 · T-test definition, formula explanation, and assumptions. The T-test is the test, which allows us to analyze one or two sample means, depending on the type of t-test. Yes, the t-test has several types: One-sample t-test — compare the mean of one group against the specified mean generated from a population.

  8. amplitude.com › explore › experimentWhat is a T-test? How to Use and Interpret T-test Results

    Interpreting and applying the results. T-test best practices. Run reliable t-tests with Amplitude. T-tests definition. A t-test is a statistical analysis to establish whether the difference between two groups’ means is statistically significant.

  9. statisticsbyjim.com › hypothesis-testing › t-tests-tHow t-Tests Work: t-Values, t-Distributions, and Probabilities

    Depending on the t-test that you use, you can compare a sample mean to a hypothesized value, the means of two independent samples, or the difference between paired samples. In this post, I show you how t-tests use t-values and t-distributions to calculate probabilities and test hypotheses.

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