Nguyen et al. (2016) offered advice to researchers in the commonly-encountered situation where they are interested in testing for a difference in central tendency between two populations. Their data and the available literature support very simple advice that strikes the best balance between ease of implementation, power and reliability. Specifically, apply Satterthwaite’s test, with preliminary ranking of the data if a strong deviation from normality is expected, or is suggested by visual inspection of the data. This simple guideline will serve well except when dealing with small samples of discrete data, when more sophisticated treatment may be required
Researchers can adopt one of many different measures of central tendency and test statistics to exam...
Some data are collected on circular (rather than linear) scales. Often researchers are interested in...
Seven test statistics known to be robust to the combined effects of nonnormality and variance hetero...
Responses to suggestions made by Ruxton & Neuhäuser (2018) regarding Nguyen et al. (2016) are given
When the assumptions of normality and homoscedasticity are met, researchers should have no doubt in ...
Ft statistic test is a non classical method of comparing two or more groups.This statistical procedu...
This study examined the effect of Type I error and power on two types of robust methods. The first m...
When testing equality of means from two independent normal populations, many statisticians prefer he...
Many biological variables are recorded on a circular scale and therefore need different statistical ...
LL is supported by the Austrian Science Fund (FWF, Grant Number: P32586). EPM receives funding from ...
t-test is a classical test statistics for testing the equality of two groups.However, this test is v...
Examining the raw data is an essential first step before proceeding to statistical analysis. Thereaf...
Standard approaches for analyzing the difference in two means, where partially overlapping samples a...
When one wishes to perform a statistical-hypothesis test, the first important step is to select the ...
The Wilcoxon-Mann-Whitney (WMW) test checks for the equality of distributions by estimating how like...
Researchers can adopt one of many different measures of central tendency and test statistics to exam...
Some data are collected on circular (rather than linear) scales. Often researchers are interested in...
Seven test statistics known to be robust to the combined effects of nonnormality and variance hetero...
Responses to suggestions made by Ruxton & Neuhäuser (2018) regarding Nguyen et al. (2016) are given
When the assumptions of normality and homoscedasticity are met, researchers should have no doubt in ...
Ft statistic test is a non classical method of comparing two or more groups.This statistical procedu...
This study examined the effect of Type I error and power on two types of robust methods. The first m...
When testing equality of means from two independent normal populations, many statisticians prefer he...
Many biological variables are recorded on a circular scale and therefore need different statistical ...
LL is supported by the Austrian Science Fund (FWF, Grant Number: P32586). EPM receives funding from ...
t-test is a classical test statistics for testing the equality of two groups.However, this test is v...
Examining the raw data is an essential first step before proceeding to statistical analysis. Thereaf...
Standard approaches for analyzing the difference in two means, where partially overlapping samples a...
When one wishes to perform a statistical-hypothesis test, the first important step is to select the ...
The Wilcoxon-Mann-Whitney (WMW) test checks for the equality of distributions by estimating how like...
Researchers can adopt one of many different measures of central tendency and test statistics to exam...
Some data are collected on circular (rather than linear) scales. Often researchers are interested in...
Seven test statistics known to be robust to the combined effects of nonnormality and variance hetero...