Nonparametric Statistics

Cheng-Few Lee, John Lee, Jow-Ran Chang and Tzu Tai
Additional contact information
Cheng-Few Lee: Rutgers University, Department of Finance
John Lee: Center for PBBEF Research
Jow-Ran Chang: National Tsing Hua University, Department of Quantitative Finance
Tzu Tai: Mezocliq, LLC

Chapter Chapter 17 in Essentials of Excel, Excel VBA, SAS and Minitab for Statistical and Financial Analyses, 2016, pp 569-587 from Springer

Abstract: Abstract There are three types of statistical data. The three types of statistical data are numerical, categorical, and ordinal. Numerical data is used for measurement, for example, the height of a person and miles to New York City. You can make mathematical operations on numerical data and the resulting number has meaning. Categorical data represents characteristics, for example, male or female and true or false. Ordinal data has ranking. For example, an experience could be poor, fair, and excellent. In this chapter we will do statistical tests on ordinal data.

Keywords: Mann–Whitney U test; Wilcoxon rank-sum test; Nonparametric test; Kruskal–Wallis test; Wilcoxon matched-pairs signed-rank test; Run; Wilcoxon’s W statistic; Nonparametric statistics; U statistic; Ranks (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-38867-0_17

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DOI: 10.1007/978-3-319-38867-0_17

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