• Student's t-test is a statistical test used to test whether the difference between the response of two groups is statistically significant or not. It...
    49 KB (6,651 words) - 20:57, 10 February 2024
  • Thumbnail for Student's t-distribution
    Fisher, who called the distribution "Student's distribution" and represented the test value with the letter t. Student's t distribution has the probability...
    50 KB (5,734 words) - 03:04, 16 March 2024
  • adaptation of Student's t-test, and is more reliable when the two samples have unequal variances and possibly unequal sample sizes. These tests are often...
    16 KB (1,742 words) - 14:34, 4 April 2024
  • standard error. It is used in hypothesis testing via Student's t-test. The t-statistic is used in a t-test to determine whether to support or reject...
    11 KB (1,496 words) - 02:50, 1 April 2024
  • Thumbnail for Z-test
    Student's t-test whose critical values are defined by the sample size (through the corresponding degrees of freedom). Both the Z-test and Student's t-test...
    12 KB (1,791 words) - 14:35, 4 February 2024
  • one-sample Student's t-test. For two matched samples, it is a paired difference test like the paired Student's t-test (also known as the "t-test for matched...
    42 KB (7,161 words) - 22:17, 19 February 2024
  • Thumbnail for Hotelling's T-squared distribution
    statistics underlying the Student's t-distribution. The Hotelling's t-squared statistic (t2) is a generalization of Student's t-statistic that is used in...
    16 KB (1,904 words) - 01:36, 19 March 2024
  • population (within some tolerance). A number of statistical tests, such as the Student's t-test and the one-way and two-way ANOVA, require a normally distributed...
    12 KB (1,623 words) - 20:59, 10 February 2024
  • {\displaystyle U} test (also called the Mann–Whitney–Wilcoxon (MWW/MWU), Wilcoxon rank-sum test, or Wilcoxon–Mann–Whitney test) is a nonparametric test of the null...
    44 KB (5,778 words) - 17:13, 11 April 2024
  • Thumbnail for A/B testing
    experiment. Z-tests are appropriate for comparing means under stringent conditions regarding normality and a known standard deviation. Student's t-tests are appropriate...
    25 KB (3,017 words) - 16:04, 29 March 2024