Nonparametric Tests Nonparametric TestsDistribution-free methods making no assumptions about the population distributionTypes of testsSign testsSign Test: Comparing paired observationsMcNemar Test: Comparing qualitative variablesCox and Stuart Test: Detecting trendRuns testsRuns Test: Detecting randomnessWald-Wolfowitz Test: Comparing two distributions The Friedman Test for a Randomized Block DesignThe Spearman Rank Correlation CoefficientA Chi-Square Test for Goodness of FitContingency Table Analysis - A Chi-Square Test for IndependenceA Chi-Square Test for Equality of ProportionsSummary and Review of Termsġ4-1 Using Statistics (Parametric Tests)Parametric MethodsInferences based on assumptions about the nature of the population distributionUsually: population is normalTypes of testsz-test or t-testComparing two population means or proportionsTesting value of population mean or proportionANOVATesting equality of several population means Using StatisticsThe Sign TestThe Runs Test - A Test for RandomnessThe Mann-Whitney U TestThe Wilcoxon Signed-Rank TestThe Kruskal-Wallis Test - A Nonparametric Alternative to One-Way ANOVA Outline MateriUji tanda (the sign test)Uji Runtunan (the runs test)Uji U-Mainn-WhitneyĬOMPLETE5 t h e d i t i o nBUSINESS STATISTICSAczel/SounderpandianMcGraw-Hill/Irwin The McGraw-Hill Companies, Inc., 200214-*
Learning OutcomesPada akhir pertemuan ini, diharapkan mahasiswa akan mampu :Menyimpulkan hasil pengujian hipotesis dengan menggunakan uji tanda (the sign test), runtunan (the run test), dan Mainn-Whitney Pertemuan 25Metode Non Parametrik-1Matakuliah: A0064 / Statistik EkonomiTahun: 2005 Versi: 1/1
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