4/18/2023 0 Comments Statcalc java script![]() ![]() It is the most powerful test, and requires less dample size than the E Test The Poisson's Test comparing two counts, initially described by Przyborowski and Wilenski, and is known as the Conditional Test (the C Test), is based on the Poisson distribution, with the null hypothesis that the ratio of the two count rates (λ 2 / λ 1) is equal to 1.With large numbers however, it is also the most computational intensive and time consumingĪs the 3 methods of comparison have different powers and precisions, they require different methods of estimating sample size. The E Test is the most robust, least likely to result in a false statistical significance, and so is the safest one to use.The C Test has been used the longest, and quoted by most text books. ![]() Users may prefer this test if the sample sizes are large or there are numerous calculations to be done The advantage of the Whitehead algorithm is the speed of computation, as there is no need for repeated estimation of factorial numbers that are necessary in the other two tests.There is only a need to choose when the ample size is small or when the difference between the two groups are minor, so that the statistical significance is ambiguous. Comparing the 3 tests: In most cases, the results from the 3 tests on the same set of data are approximately the same.This test depends on a transformation of the difference into a normally distributed mean and compares the means against the null hypothesis of 0. Whitehead (see reference), in his text book on unpaired sequential analysis, provided algorithms to determine sample sizes for non-sequential methods, and a method for comparing two counts at the end of the sequence.Althought computation for this test is more complex, the advantages are that it is more robust, and the results have greater power More recently, Krishnamoorthy and Thomson (see reference) proposed an improvement on the C Test, where the null hypothesis is that the difference between the two count rates (λ 2 - λ 1) is equal to 0.The test is based on the null hypothesis that the ratio of the two count rates (λ 2 / λ 1) is equal to 1. The most commonly used method, initially described by Przyborowski and Wilenski (see reference), is known as the Conditional Test (the C Test).Three algorithms are available for this comparison The actual comparisons are in Compare Two Counts program Removed '/statcalc hide', added '/statcalc toggle'.This page provides calculations to estimate sample size requirements, and power of results, in comparing two sets of count data. 0.91 Added German translation, thanks to Amethadan.0.92 Fixed a stupid error in ResetWindow that I introduced in 0.91.Fixed high offence? (which I can't test as I have crummy gear) Switched hunters to ranged offence, for cases where ranged and melee differ. Updated agility, will, fate, critical defence, champions, wardens. 10 New version numbering to match LoTRO updates.Caps on Critical Magnitude and Critical Defence are unknown.The plugin is only calculates base crit and base resistance, ignoring subtypes such as melee crit and poison resistance.The plugin is unaware of direct percentage bonuses, such as the Race of Man passive skill Easily Inspired's 5% bonus to incoming healing.The plugin is unaware of morale multipliers, such as the Lore-master trait Master of the Staff.Works in Session Play, but I haven't tested them all. The default language can also be overriden with a configuration option in the source. The default language should match your client, however I don't have a multilingual client to test this. StatCalc is a plugin for calculating how your character's ratings and percentages will change after increases or reductions to different stats.
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