Goodness-of-fit and test for independence: testing distributions.

A. Kozak, R. Kozak, C. Staudhammer, S. B. Watts
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Abstract

Abstract This chapter introduces tests concerning distributions of one or more populations by using data from a large sawmill. The goodness-of-fit test is used to determine whether a population follows a specified theoretical distribution, and the test for independence (or a contingency table) is used to compare two or more distributions.
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拟合优度和独立性测试:测试分布。
摘要本章利用某大型锯木厂的数据,介绍了关于一个或多个种群分布的检验。拟合优度检验用于确定总体是否遵循指定的理论分布,而独立性检验(或列联表)用于比较两个或多个分布。
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Descriptive statistics: making sense of data. Sampling methods and design of experiments: collecting data. Continuous distributions and the normal distribution: describing data that are measured. Analysis of variance: testing differences between several means. Non-parametric tests: testing when distributions are unknown.
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