Chapter 11

ANOVA (Analysis of Variance)

Abstract

Analysis of variance of is a technique for testing hypothesis. It is also a very useful tool for obtaining estimates of various parameters, or functions of the parameters involved in the two models. In this chapter we introduce one-way ANOVA and two-way ANOVA. The basic principle underlying the technique is that the total variation in the dependent variable is broken into one which is attributed to some specific causes is known as the variation between the samples and the one which attributed to chance is called the variations within the samples.

Keywords

Assumptions; one-way ANOVA; two-way ANOVA

11.1 Introduction

In this chapter we briefly introduce Analysis of variance (ANOVA) which is statistical ...

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