Answer to Question 1
The one-way analysis of variance test assumes that samples have been drawn from normally distributed populations with equal variances. In addition, data must be of the interval or ratio scale. The Kruskal-Wallis test requires neither normal populations nor equal variances. The data must be at least ordinal, and the samples are assumed to be randomly selected. The one-way ANOVA test is preferred whenever the necessary assumptions are met.
Answer to Question 2
The parametric counterpart to the Wilcoxon rank sum test is the two-sample pooled-variances t-test for independent samples. The t-test assumes data on the interval or ratio scale, independent random samples, normally-distributed populations, and equal variances. The Wilcoxon rank sum test assumes data on the ordinal, interval, or ratio scale and that the samples are independent random samples from populations with similar shapes.
Administration of the Rinne test.
Test Paper
One way to think about the different phases or stages of adulthood is in terms of the relative ...
A typical 12 volt test light.
Photo of a sign taken at an emissions test facility.
Directional Terms