Comparisons with Numerical Data

Peter Kenny

Chapter Chapter 10 in Better Business Decisions from Data, 2014, pp 93-102 from Springer

Abstract: 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.

Keywords: Null Hypothesis; Production Line; Population Variance; Standard Normal Distribution; Soccer Player (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4842-0184-8_10

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DOI: 10.1007/978-1-4842-0184-8_10

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