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  2. Student's t-test - Wikipedia

    en.wikipedia.org/wiki/Student's_t-test

    From the t-test, the difference between the group means is 6-2=4. From the regression, the slope is also 4 indicating that a 1-unit change in drug dose (from 0 to 1) gives a 4-unit change in mean word recall (from 2 to 6). The t-test p-value for the difference in means, and the regression p-value for the slope, are both 0.00805. The methods ...

  3. Sobel test - Wikipedia

    en.wikipedia.org/wiki/Sobel_test

    The Sobel test is basically a specialized t test that provides a method to determine whether the reduction in the effect of the independent variable, after including the mediator in the model, is a significant reduction and therefore whether the mediation effect is statistically significant.

  4. Glejser test - Wikipedia

    en.wikipedia.org/wiki/Glejser_test

    In statistics, the Glejser test for heteroscedasticity, developed in 1969 by Herbert Glejser, regresses the residuals on the explanatory variable that is thought to be related to the heteroscedastic variance. [1]

  5. Multivariate t-distribution - Wikipedia

    en.wikipedia.org/wiki/Multivariate_t-distribution

    One common method of construction of a multivariate t-distribution, for the case of dimensions, is based on the observation that if and are independent and distributed as (,) and (i.e. multivariate normal and chi-squared distributions) respectively, the matrix is a p × p matrix, and is a constant vector then the random variable = / / + has the density [1]

  6. T distribution - Wikipedia

    en.wikipedia.org/wiki/T_distribution

    The phrase "T distribution" may refer to Student's t-distribution in univariate probability theory, Hotelling's T-square distribution in multivariate statistics.

  7. White test - Wikipedia

    en.wikipedia.org/wiki/White_test

    In R, White's Test can be implemented using the white function of the skedastic package. [5]In Python, White's Test can be implemented using the het_white function of the statsmodels.stats.diagnostic.het_white [6]

  8. Construction of t-norms - Wikipedia

    en.wikipedia.org/wiki/Construction_of_t-norms

    A family of t-norms T p parameterized by p is increasing if T p (x, y) ≤ T q (x, y) for all x, y in [0, 1] whenever p ≤ q (similarly for decreasing and strictly increasing or decreasing). A family of t-norms T p is continuous with respect to the parameter p if = for all values p 0 of the parameter.

  9. GEH statistic - Wikipedia

    en.wikipedia.org/wiki/GEH_Statistic

    The GEH formula is useful in situations such as the following: [4] [5] [6] Comparing a set of traffic volumes from manual traffic counts with a set of volumes done at the same locations using automation (e.g. a pneumatic tube traffic counter is used to check the total entering volumes at an intersection to affirm the work done by technicians doing a manual count of the turn volumes).