Analysis of variance: testing differences between several means.

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

Abstract This chapter introduces a technique called analysis of variance, which enables to compare the equality of two or more population means. Analysis of variance, often referred to by the acronym ANOVA, is one of the most powerful and frequently used techniques in statistics. It is used to analyse data obtained through both experimental designs and sampling designs. The application of this technique is exemplified by studying the effects of three different fertilizers on the height growth of Douglas fir seedlings.
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方差分析:检验几个均值之间的差异。
本章介绍一种称为方差分析的技术,它可以比较两个或多个总体均值的相等性。方差分析,通常被简称为ANOVA,是统计学中最强大和最常用的技术之一。它用于分析通过实验设计和抽样设计获得的数据。通过研究三种不同肥料对花旗松幼苗高度生长的影响,说明了该技术的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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