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_a1118165888 _q(electronic bk.) |
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_a1118165829 _q(electronic bk.) |
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_a(OCoLC)757511746 _z(OCoLC)757390431 _z(OCoLC)871484504 |
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_a10.1002/9781118165881 _bWiley InterScience _nhttp://www3.interscience.wiley.com |
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041 | 0 | _aeng | |
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_aQA278.8 _b.C67 2011EBK |
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_aMAT _x029000 _2bisacsh |
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_aQA278.8 _b.C67 2011EBK |
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100 | 1 |
_aCorder, Gregory W., _d1972- _eauthor _9142207 |
|
245 | 1 | 0 |
_aNonparametric statistics for non-statisticians : _ba step-by-step approach / _cyazarlar; Gregory W. Corder, Dale I. Foreman. |
264 | 1 |
_aHoboken, N.J. : _bWiley, _c2011. |
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264 | 4 | _c©2009 | |
300 |
_a1 online resource (xiii, 247 pages) : _billustrations. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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504 | _aBIBINDX | ||
505 | 0 | _aFront Matter -- Nonparametric Statistics: An Introduction -- Testing Data for Normality -- Comparing Two Related Samples: The Wilcoxon Signed Ranks Test -- Comparing Two Unrelated Samples: The Mann₆Whitney U-Test -- Comparing More Than Two Related Samples: The Friedman Test -- Comparing More than Two Unrelated Samples: The Kruskal₆Wallis H-Test -- Comparing Variables of Ordinal or Dichotomous Scales: Spearman Rank-Order, Point-Biserial, and Biserial Correlations -- Tests for Nominal Scale Data: Chi-Square and Fisher Exact Test -- Test For Randomness: The Runs Test -- Appendix A: SPSS at a Glance -- Appendix B: Tables of Critical Values -- Bibliography -- Index. | |
505 | 0 | _aTesting data for normality -- Comparing two related samples : the Wilcoxon signed ranks test -- Comparing two unrelated samples : the Mann-Whitney U-test -- Comparing more than two related samples : the Friedman test -- Comparing more than two unrelated samples : the Kruskal-Wallis H test -- Comparing variables of ordinal or dichotomous scales : Spearman rank-order, point-biserial, and biserial correlations -- Tests for nominal scale data : chi-square and Fisher exact test -- Test for randomness : the runs test. | |
520 | _aA practical and understandable approach to nonparametric statistics for researchers across diverse areas of study As the importance of nonparametric methods in modern statistics continues to grow, these techniques are being increasingly applied to experimental designs across various fields of study. However, researchers are not always properly equipped with the knowledge to correctly apply these methods. Nonparametric Statistics for Non-Statisticians: A Step-by-Step Approach fills a void in the current literature by addressing nonparametric statistics in a manner that is easily accessible for. | ||
588 | 0 | _aPrint version record. | |
650 | 0 | _aNonparametric statistics. | |
650 | 7 |
_aMATHEMATICS _xProbability & Statistics _xGeneral. _2bisacsh |
|
650 | 7 |
_aNonparametric statistics. _2fast _0(OCoLC)fst01038853 |
|
650 | 0 | 7 |
_aNichtparametrische Statistik. _2swd |
650 | 7 |
_aIcke-parametriska metoder _xmatematisk statistik. _2sao |
|
655 | 7 |
_aElectronic books. _2local |
|
700 | 1 |
_aForeman, Dale I. _eauthor _9142209 |
|
710 | 2 | _aWiley InterScience (Online service) | |
776 | 0 | 8 |
_iPrint version: _aCorder, Gregory W., 1972- _tNonparametric statistics for non-statisticians. _dHoboken, N.J. : Wiley, ©2009 _z9780470454619 _w(DLC) 2008049903 _w(OCoLC)276228975 |
856 | 4 | 0 |
_3Wiley Online Library _zOnline access link to the resource _uhttps://doi.org/10.1002/9781118165881 |
942 |
_2lcc _cEBK |