

Statistical Significance TesterConsider the predicament of a rifle shooter comparing two different shells: Shell A gives a group of 2.5", Shell B a group of 3". Shell A has done better in this test, but does that mean it will consistently give a tighter group? Applying statistical tests to the data can help answer this question. The Statistical Significance Tester gives an estimate of whether the difference between two measured averages is genuinely different, that is the difference is likely to be repeated in subsequent real physical tests. The higher the reported confidence level on a 0100% scale the better. In general (and unsurprisingly), the larger the difference between two sets of data and the more samples that contributed to the data, the higher the confidence level in the data.


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(c) Written by A C Jones http://www.shotguninsight.com 



Quick Guide.Probably the best way to get a feel for the Tester is to plug in some data and see the results. The table below summarises what data from ShotgunInsight and Rifle & Pistol can be used in which field of the Tester.
Results from Rifle & Pistol Insight and ShotgunInsight that can be used in the Statistical Significance Tester.

Overview of what the "Confidence" reading means:
The phrase "conclusion" needs to be explained. It just means that the value of Set A is bigger (or smaller) than that of Set B. A high confidence value means that if the data was gathered again Set A would again be bigger (or smaller) than Set B. The magnitude of the difference might change in a subsequent test, but Set A should still have a higher value. 