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Student's t-test is a statistical test used to test whether the difference between the response of two ... Microsoft Excel 2010 and later: T.TEST(array1, array2 ...
Microsoft Excel 2010 and later (Student's T Test) T.TEST(array1, array2, tails, type) [14] Minitab: Accessed through menu [15] Origin software: Results of the Welch t-test are automatically outputted in the result sheet when conducting a two-sample t-test (Statistics: Hypothesis Testing: Two-Sample t-test) [16] SAS (Software)
Most frequently, t statistics are used in Student's t-tests, a form of statistical hypothesis testing, and in the computation of certain confidence intervals. The key property of the t statistic is that it is a pivotal quantity – while defined in terms of the sample mean, its sampling distribution does not depend on the population parameters, and thus it can be used regardless of what these ...
The noncentral t-distribution generalizes Student's t-distribution using a noncentrality parameter.Whereas the central probability distribution describes how a test statistic t is distributed when the difference tested is null, the noncentral distribution describes how t is distributed when the null is false.
The Student's t distribution plays a role in a number of widely used statistical analyses, including Student's t test for assessing the statistical significance of the difference between two sample means, the construction of confidence intervals for the difference between two population means, and in linear regression analysis.
Microsoft Office 2010 (codenamed Office 14 [6]) is a version of Microsoft Office for Microsoft Windows unveiled by Microsoft on May 15, 2009, and released to manufacturing on April 15, 2010, [1] with general availability on June 15, 2010. [7]
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For example, the test statistic might follow a Student's t distribution with known degrees of freedom, or a normal distribution with known mean and variance. Select a significance level (α), the maximum acceptable false positive rate. Common values are 5% and 1%. Compute from the observations the observed value t obs of the test statistic T.
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