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A two-tailed test applied to the normal distribution. A one-tailed test, showing the p-value as the size of one tail. In statistical significance testing, a one-tailed test and a two-tailed test are alternative ways of computing the statistical significance of a parameter inferred from a data set, in terms of a test statistic. A two-tailed test ...
Binomial tests are available in most software used for statistical purposes. E.g. In R the above example could be calculated with the following code: binom.test (51, 235, 1 / 6, alternative = "less") (one-tailed test) binom.test (51, 235, 1 / 6, alternative = "greater") (one-tailed test) binom.test (51, 235, 1 / 6, alternative = "two.sided ...
Tukey's test of additivity – interaction in two-way anova; Tukey–Duckworth test; Tukey–Kramer method; Tukey lambda distribution; Tweedie distribution; Twisting properties; Two stage least squares – redirects to Instrumental variable; Two-tailed test; Two-way analysis of variance; Type I and type II errors; Type-1 Gumbel distribution
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 is any statistical hypothesis test in which the test statistic follows a Student's t -distribution under the null hypothesis .
The null hypothesis of the two-tailed test is: : = There is no universal definition of the two-tailed version of Fisher's exact test. [3] Since Boschloo's test is based on Fisher's exact test, a universal two-tailed version of Boschloo's test also doesn't exist.
The sign test is a statistical test for consistent differences between pairs of observations, such as the weight of subjects before and after treatment. Given pairs of observations (such as weight pre- and post-treatment) for each subject, the sign test determines if one member of the pair (such as pre-treatment) tends to be greater than (or less than) the other member of the pair (such as ...
Fisher's exact test (also Fisher-Irwin test) is a statistical significance test used in the analysis of contingency tables. [ 1 ] [ 2 ] [ 3 ] Although in practice it is employed when sample sizes are small, it is valid for all sample sizes.
For example, you would use a two-tailed test if one random sample was 15 quarter horses and the second sample was 15 sires or dams of those same horses. A one-tailed test is appropriate if no known relationship exists between the samples, for example, two random samples of 15 unrelated quarter horses. -- 206.208.110.32 20:58, 17 August 2005 ...