Module 9 Nonparametric tests.pdf - 1

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Parametric or Nonparametric tests?} If all assumptions are met, use Parametric techniques} Use Nonparametric techniques} When the dependent variable is either nominal or ordinal} If the distribution of the dependent variable is skewed} When the assumptions are not met, specifically:} Normality} Homogeneity of variance
Restrictions} Nonparametric tests do have at least two majordisadvantages in comparison to parametric tests:} First, nonparametric tests are less powerful. Why?Because parametric tests use more of the informationavailable in a set of numbers.} Parametric tests make use of information consistent withinterval or ratio scale (or continuous) measurement,whereas nonparametric tests typically make use ofnominal or ordinal (or categorical) information only.5
Page 1 and 2: Module 9: Nonparametric TestsThe Ap
Page 3: What Are Nonparametric Tests?} Nonp
Page 7 and 8: Chi-Square Test} Used to test varia
Page 9 and 10: Chi-Square Goodness-of-Fit Test(con
Page 11 and 12: Contingency Tables} Helps arrange t
Page 13 and 14: Goodness-of-Fit Example (contd)} St
Page 15 and 16: Goodness-of-Fit Example (contd)
Page 17 and 18: Goodness-of-Fit Example (contd)} Us
Page 19 and 20: Chi-Square Test of Independence} A
Page 21 and 22: Test of Independence Example (contd
Page 29 and 30: Nonparametric Tests for Nominal Dat
Page 31 and 32: Module 9 Summary} Nonparametric Tes
Page 33: Statistics PD Course Modules} Modul

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