Parametric Tests for Two Population Means under Normal and Non-Normal Distributions

被引：0

作者：

Nguyen, Diep T. ^{[1
]}

Kim, Eun Sook ^{[2
]}

de Gil, Patricia Rodriguez ^{[1
]}

Kellermann, Anh ^{[1
]}

Chen, Yi-Hsin ^{[1
]}

Kromrey, Jeffrey D. ^{[1
]}

Bellara, Aarti ^{[3
]}

机构：

[1] Univ S Florida, Tampa, FL USA

[2] Univ S Florida, Dept Educ Psychol Studies, Tampa, FL 33620 USA

[3] Univ Connecticut, Storrs, CT USA

来源：

JOURNAL OF MODERN APPLIED STATISTICAL METHODS | 2016年 / 15卷 / 01期

关键词：

Type I error control; statistical power; parametric tests; independent means t-test; Satterthwaite's approximate t-test; conditional t-test;

D O I：

暂无

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

A simulation study was conducted to explore the performance of the independent means t-test, Satterthwaite's approximate t-test, and the conditional t-test under various conditions. Type I error control and statistical power of these testing approaches were examined and guidance provided on the proper selection among them.

引用

页码：141 / 159

页数：19

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