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Analysis of Variance (ANOVA)

In: Applied Statistical Methods in Agriculture, Health and Life Sciences

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  • Bayo Lawal

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

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:

Suggested Citation

  • Bayo Lawal, 2014. "Analysis of Variance (ANOVA)," Springer Books, in: Applied Statistical Methods in Agriculture, Health and Life Sciences, edition 127, chapter 6, pages 169-215, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-05555-8_6
    DOI: 10.1007/978-3-319-05555-8_6
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