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010   $a3-319-68264-4
024 7 $a10.1007/978-3-319-68264-8
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035   $a(DE-He213)978-3-319-68264-8
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100   $a20180115d2018      u|         0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aDecision Support Using Nonparametric Statistics /$fby Warren Beatty
205   $a1st ed. 2018.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018.
215   $a1 online resource (XXII, 115 p. 60 illus.)
225 1 $aSpringerBriefs in Statistics,$x2191-544X
311   $a3-319-68263-6 
320   $aIncludes bibliographical references.
327   $aPreface -- Introduction to Decision-Making -- 1. Introduction to Variables and Sampling, Sampling Error, and Margin of Error -- 2. Introduction to Probability, the Foundation of Statistics, and Binomial Probability -- 3. One Population Hypothesis Testing: Nominal - Runs Test, Sign Test; Ordinal, Interval - Wilcoxon Signed Rank Test -- 4. Two Population Hypothesis Testing: Nominal - Sign Test, Chi-Square Contingency Table; Ordinal, Interval - Wilcoxon Signed Rank Test, Mann-Whitney U Test -- 5. Three or More Population Hypothesis Testing: Nominal - Chi Square Contingency Table; Ordinal, Interval - Kruskall-Wallis Test -- 6. Association: Nominal - Chi-Square Test of Association; Ordinal, Interval - Spearman's Rank Correlation -- Appendix of Tables Used -- References for Chapters 3-6 -- OpenOffice Help -- Spreadsheet Tutorial. .
330   $aThis concise volume covers nonparametric statistics topics that most are most likely to be seen and used from a practical decision support perspective. While many degree programs require a course in parametric statistics, these methods are often inadequate for real-world decision making in business environments. Much of the data collected today by business executives (for example, customer satisfaction opinions) requires nonparametric statistics for valid analysis, and this book provides the reader with a set of tools that can be used to validly analyze all data, regardless of type. Through numerous examples and exercises, this book explains why nonparametric statistics will lead to better decisions and how they are used to reach a decision, with a wide array of business applications. Online resources include exercise data, spreadsheets, and solutions.
410  0$aSpringerBriefs in Statistics,$x2191-544X
606   $aStatistics 
606   $aOperations research
606   $aDecision making
606   $aBusiness mathematics
606   $aBig data
606   $aStatistics for Business, Management, Economics, Finance, Insurance$3https://scigraph.springernature.com/ontologies/product-market-codes/S17010
606   $aStatistical Theory and Methods$3https://scigraph.springernature.com/ontologies/product-market-codes/S11001
606   $aOperations Research/Decision Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/521000
606   $aBusiness Mathematics$3https://scigraph.springernature.com/ontologies/product-market-codes/523000
606   $aBig Data/Analytics$3https://scigraph.springernature.com/ontologies/product-market-codes/522070
615  0$aStatistics .
615  0$aOperations research.
615  0$aDecision making.
615  0$aBusiness mathematics.
615  0$aBig data.
615 14$aStatistics for Business, Management, Economics, Finance, Insurance.
615 24$aStatistical Theory and Methods.
615 24$aOperations Research/Decision Theory.
615 24$aBusiness Mathematics.
615 24$aBig Data/Analytics.
676   $a519.5
700   $aBeatty$b Warren$4aut$4http://id.loc.gov/vocabulary/relators/aut$0768228
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910300119503321
996   $aDecision Support Using Nonparametric Statistics$91564700
997   $aUNINA