The problem of comparing two or more distributions has been under discussion for approximately 150 years. The classical method of comparing moments or functions of moments is without doubt the one which holds the favor of most of the eminent statisticians. It is not the purpose of this paper to enumerate the merits or demerits of any test of significance of differences of samples. Rather, a certain method of procedure is chosen, and in accordance with the hypotheses of this method the effect of increasing the size of the sample is shown. Comparative relations are easily shown with a few common statistics such as the standard deviations of standard deviations and means
One of the spiniest problems in the elementary theory of the sampling is the determination of the si...
The increased use of effect sizes in single studies and meta-analyses raises new questions about sta...
It is well known that dichotomizing continuous data has the effect to decrease statistical power whe...
The problem of comparing two or more distributions has been under discussion for approximately 150 y...
This Mathematica demonstration compares the sample uniform probability distribution with the theoret...
The null hypothesis of equal distributions, 0 1 2:... KH F F F , is commonly used to compare tw...
Although dissatisfaction with the limitations associated with tests for statistical significance has...
(A) Two example populations with McGurk susceptibility of 45% (Population A, orange) and 55% (Popula...
Researchers are strongly encouraged to accompany the results of statistical tests with appropriate e...
This article presents a general set of procedures for comparing the effect sizes of two or more inde...
This article describes procedures for presenting standardized measures of effect size when contrasts...
Researchers in the field of psychology often face the situation that the statistical significance de...
An exposition of standardized effect for two independent samples (under an assumption of normality) ...
This paper explains the underlying assumptions of the sampling distribution and its role in signific...
Doctor of PhilosophyDepartment of StatisticsPaul I. NelsonThe null hypothesis of equal distributions...
One of the spiniest problems in the elementary theory of the sampling is the determination of the si...
The increased use of effect sizes in single studies and meta-analyses raises new questions about sta...
It is well known that dichotomizing continuous data has the effect to decrease statistical power whe...
The problem of comparing two or more distributions has been under discussion for approximately 150 y...
This Mathematica demonstration compares the sample uniform probability distribution with the theoret...
The null hypothesis of equal distributions, 0 1 2:... KH F F F , is commonly used to compare tw...
Although dissatisfaction with the limitations associated with tests for statistical significance has...
(A) Two example populations with McGurk susceptibility of 45% (Population A, orange) and 55% (Popula...
Researchers are strongly encouraged to accompany the results of statistical tests with appropriate e...
This article presents a general set of procedures for comparing the effect sizes of two or more inde...
This article describes procedures for presenting standardized measures of effect size when contrasts...
Researchers in the field of psychology often face the situation that the statistical significance de...
An exposition of standardized effect for two independent samples (under an assumption of normality) ...
This paper explains the underlying assumptions of the sampling distribution and its role in signific...
Doctor of PhilosophyDepartment of StatisticsPaul I. NelsonThe null hypothesis of equal distributions...
One of the spiniest problems in the elementary theory of the sampling is the determination of the si...
The increased use of effect sizes in single studies and meta-analyses raises new questions about sta...
It is well known that dichotomizing continuous data has the effect to decrease statistical power whe...