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Central Limit Theorem: A sampling distribution of the mean is approximately normally distributed if the sample size is sufficiently large. This is true no matter what the population distribution is.
Jason Fernando is a professional investor and writer who enjoys tackling and communicating complex business and financial problems. Somer G. Anderson is CPA, doctor of accounting, and an accounting ...
The authors generated exact probability distributions for sample sizes up to 35 in each of three groups (n ≤ 105) and up to 10 in each of four groups (n ≤ 40). They compared the exact distributions to ...
Certain tests of independence based on the sample distribution function (d.f.) possess power properties superior to those of other tests of independence previously discussed in the literature. The ...
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