Analysis of Variance (ANOVA)

Bayo Lawal ()
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Bayo Lawal: Kwara State University, Department of Statistics and Mathematical Sciences

Chapter 6 in Applied Statistical Methods in Agriculture, Health and Life Sciences, 2014, pp 169-215 from Springer

Abstract: Abstract In the last chapter, we were able to compare two population means using either the large sample Z test or the two-sample t test. Analysis of variance (that is, analysis based on the variation in the data) often written as “ANOVA” concerns how to test the means of more than two populations. Suppose we have k populations each distributed independently with mean μ i and variance $\sigma_i^{2}$ , $i=1,2,\cdots,k$ . Then the hypotheses of interest here are:

Keywords: Error Mean Square; Multiple Comparison Procedure; Unequal Replication; Perishable Food Product; Orthogonal Polynomial Coefficient (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1007/978-3-319-05555-8_6

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