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Comparisons with Numerical Data

In: Better Business Decisions from Data

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  • Peter Kenny

Abstract

Once a numerical sample or population has been characterized in a quantifiable way, as shown in Chapter 7 , it can be compared with others to seek differences or similarities. This chapter explains what can be learned from single values, pairs of values, pairs of samples, and sets of samples. In each case, the null hypothesis, that no difference is evidenced, is set up; and, by calculating the appropriate test statistic, it is established whether the null hypothesis should be accepted or not.

Suggested Citation

  • Peter Kenny, 2014. "Comparisons with Numerical Data," Springer Books, in: Better Business Decisions from Data, chapter 0, pages 93-102, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4842-0184-8_10
    DOI: 10.1007/978-1-4842-0184-8_10
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