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正态及相关分布
中心极限定理断言，独立的、同一分布变量的均值，如果足够轻尾，将收敛为正态分布. 这意味着当对某些量不知道确切分布时，如果有一些平均处理的格式，最终会变成正态分布. 这是统计决策过程长清单的基础，因为对于许多情况最终都有可能为正态分布，所以我们也希望正常变量有许多变化.
精选实例 |
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Choose Parametric Tests or Their Nonparametric Counterparts
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Compare Maximum-Likelihood and Cramér-von Mises Estimates
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Compare Two Models of Wind Speeds
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Compute a Two-Tailed Probability
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Create Confidence Envelopes about Nonparametric Density Estimates
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Decompose Mixture Models of Earthquake Magnitudes
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Fit Nonparametric and Parametric Distributions to Weighted Data
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Perform Affine Transformations on a Normal Distribution
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Perform an Edgeworth Expansion to Approximate a Distribution
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Perform Tests of Location and Scale Simultaneously on Multiple Datasets
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Simulate a Derived Distribution
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Solve Optimization Problems in Density Estimation
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Splice the Body of a Distribution with New Tails
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Test for Goodness of Fit to Any Distribution or Dataset
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Truncate a Distribution
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Visualize Distribution Functions for a Fitted Multivariate Distribution
