Abstract
In a recent article we described some quick and simple tests for the k-sample slippage problem. Those tests were designed for the alternative that precisely one population had slipped. In this article we present a method of testing which has power for all slippage alternatives and which makes a diagnosis of the type of slippage that has occurred. Critical values are obtained either from a table (in the case of small samples), from graphs or from asymptotic approximations, which turn out to be very accurate.