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1 How t-Tests Work: t-Values, t-Distributions, and Probabilities

- Author: statisticsbyjim.com
- Published Date: 11/10/2021
- Review: 4.97 (871 vote)
- Summary: T-tests are statistical hypothesis tests that you use to analyze one or two sample means. Depending on the t-test that you use, you can compare a sample
- Matching search results: The tricky thing about t-values is that they are a unitless statistic, which makes them difficult to interpret on their own. Imagine that we performed a t-test, and it produced a t-value of 2. What does this t-value mean exactly? We know that the sample
- Source: https://statisticsbyjim.com/hypothesis-testing/t-tests-t-values-t-distributions-probabilities/
2 An introduction to t-tests

- Author: scribbr.com
- Published Date: 06/24/2022
- Review: 4.8 (959 vote)
- Summary: A t-test is a statistical test that is used to compare the means of two groups . It is often used in hypothesis testing to determine whether a process or treatment actually has an effect on the population of interest, or whether two groups are different from one another
- Matching search results: The difference in petal length between iris species 1 (Mean = 1.46; SD = 0.206) and iris species 2 (Mean = 5.54; SD = 0.569) was significant (t (30) = − 33.7190; p < 2.2e-16).
- Source: https://www.scribbr.com/statistics/t-test/
3 Understanding t-Tests: t-values and t-distributions

- Author: blog.minitab.com
- Published Date: 06/07/2022
- Review: 4.81 (785 vote)
- Summary: · T-tests are handy hypothesis tests in statistics when you want to compare means. You can compare a sample mean to a hypothesized or target
- Matching search results: T-tests are handy hypothesis tests in statistics when you want to compare means. You can compare a sample mean to a hypothesized or target value using a one-sample t-test. You can compare the means of two groups with a two-sample t-test. If you have two
- Source: https://blog.minitab.com/en/adventures-in-statistics-2/understanding-t-tests-t-values-and-t-distributions
4 T Test (Student’s T-Test): Definition and Examples

- Author: statisticshowto.com
- Published Date: 07/28/2022
- Review: 4.94 (676 vote)
- Summary: The t test tells you how significant the differences between group means are. It lets you know if those differences in means could have happened by chance
- Matching search results: Step 8: In conclusion, compare your t-table value from Step 7 (2.228) to your calculated t-value (-2.74). The calculated t-value is greater than the table value at an alpha level of .05. In addition, note that the p-value is less than the alpha level: p
- Source: https://www.statisticshowto.com/probability-and-statistics/t-test/
5 T-Test: What It Is With Multiple Formulas and When To Use Them
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- Author: investopedia.com
- Published Date: 06/19/2022
- Review: 4.9 (850 vote)
- Summary: A t-test is an inferential statistic used to determine if there is a significant difference between the means of two groups and how they are related
- Matching search results: Degrees of Freedom = n 1 + n 2 − 2 where: n 1 and n 2 = Number of records in each sample set begin{aligned} &text{Degrees of Freedom} = n1 + n2 – 2 \
- Source: https://www.investopedia.com/terms/t/t-test.asp