Module 9 Nonparametric tests.pdf - 1

More documents

Recommendations

Info

Restrictions (contd)} Second, parametric <strong>tests</strong> are much more flexible, andallow you to test a greater range of hypotheses. Forexample, ANOVA designs allow you to test forinteractions between variables in a way that is notpossible with nonparametric alternatives.} There are nonparametric techniques to test for certainkinds of interactions under certain circumstances, butthese are much more limited than the correspondingparametric techniques.6
Chi-Square Test} Used to test variables that have nominal data} Examples of nominal data} Gender} Political affiliation} Course delivery method} Three main types:} Goodness-of-fit (or one-sample) test} Test of independence (or association)} Independent-samples test
Page 1 and 2: Module 9: Nonparametric TestsThe Ap
Page 3 and 4: What Are Nonparametric Tests?} Nonp
Page 5: Restrictions} Nonparametric tests d
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

Module 9 Nonparametric tests.pdf - 1

Create successful ePaper yourself

Delete template?

Save as template?