t tvst It is noted that disagreements have arisen in the literature about the robustness of the t test in normal populations with unequal variances. Hsu's procedure is applied to determine exact Type I error rates for t. Employing fairly liberal but objective standards for assessing robustness, it is shown that the t test is not always robust to the assumption of equal population variances even when sample sizes are equal. Several guidelines are suggested including the point that to apply t at a =.05 without regard for unequal variances would require equal sample sizes of at least 15 by one of the standards considered. In many cases, especially those with unequal N's, an alternative such as Welch's procedure is recommended
When testing the equality of the means from two independent normally distributed populations given t...
The aim of this article is to show that the T-test can be misleading. We argue that normal or Studen...
In the current study, we evaluated various robust statistical methods for comparing two independent ...
Researchers occasionally have to work with an extremely small sample size, defined herein as N ≤ 5. ...
Researchers occasionally have to work with an extremely small sample size, defined herein as N 5...
Researchers occasionally have to work with an extremely small sample size, defined herein as N ≤ 5. ...
The comparison of two means is one of the most commonly applied statistical procedures in psychology...
The comparison of two means is one of the most commonly applied statistical procedures in psychology...
The classic F test for the hypothesis concerning the equality of two population variances is known ...
Two robust procedures for testing the equality of central tendency measures, namely T1 and trimmed F...
The t-test used prominently for comparing means between two groups is usually restricted with the as...
When comparing two independent groups, psychology researchers commonly use Student's t-Tests. Assump...
When comparing two independent groups, psychology researchers commonly use Student's t-Tests. Assump...
This thesis investigates the robustness of the Type I error rate of the t test, the t test on ranks ...
When comparing two independent groups, psychology researchers commonly use Student's t-Tests. Assump...
When testing the equality of the means from two independent normally distributed populations given t...
The aim of this article is to show that the T-test can be misleading. We argue that normal or Studen...
In the current study, we evaluated various robust statistical methods for comparing two independent ...
Researchers occasionally have to work with an extremely small sample size, defined herein as N ≤ 5. ...
Researchers occasionally have to work with an extremely small sample size, defined herein as N 5...
Researchers occasionally have to work with an extremely small sample size, defined herein as N ≤ 5. ...
The comparison of two means is one of the most commonly applied statistical procedures in psychology...
The comparison of two means is one of the most commonly applied statistical procedures in psychology...
The classic F test for the hypothesis concerning the equality of two population variances is known ...
Two robust procedures for testing the equality of central tendency measures, namely T1 and trimmed F...
The t-test used prominently for comparing means between two groups is usually restricted with the as...
When comparing two independent groups, psychology researchers commonly use Student's t-Tests. Assump...
When comparing two independent groups, psychology researchers commonly use Student's t-Tests. Assump...
This thesis investigates the robustness of the Type I error rate of the t test, the t test on ranks ...
When comparing two independent groups, psychology researchers commonly use Student's t-Tests. Assump...
When testing the equality of the means from two independent normally distributed populations given t...
The aim of this article is to show that the T-test can be misleading. We argue that normal or Studen...
In the current study, we evaluated various robust statistical methods for comparing two independent ...