Editor--Part 2 of this article can be found here.
In some industries a few test batches will be produced prior to going into production. When this happens, a critical question is: “Are all of the test batches alike?” With only one value per batch, how can we compare a set of three or more values to see if one of the values is different from the others? This article will provide an answer by presenting a new test for homogeneity.
The problem here is substantially different from most of the problems addressed by statistical tests. Here we will want to use the test batches to characterize future production, but before we can meaningfully interpret even the simplest statistics in this way, we will need homogeneity between the test batches.
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Comments
Question on chunky W ratios
Thanks for a very interesting article. My question relates to the statement just above example 2: "...we prefer for M to be at least 20." I understand the reasoning to state this, but off course it is something that the experimenter cannot influence. You get the data that you get from the process. Does this mean that if M < 20, due to the chunkiness of the W ratios, the test should not be used? Is there an alternative in that case.
Kind regards,
Willy Vandenbrande
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