Module 9 Nonparametric tests.pdf - 1

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Chi-Square Goodness-of-Fit Test(contd)¨ Next, you must formulate a null hypothesis (the expectedfrequencies = hypothesized proportions)¨ Then, specify the expected frequencies associated withthe categories.¤ The expected frequency =hypothesized proportion x total sample size.¤ If hypothesized proportions are equal, the expectedfrequencies will be equal¤ If hypothesized proportions are unequal, the expectedfrequencies will be unequal
Contingency Tables} Helps arrange the data in a study for the purpose ofshowing how each group split itself up on the variable} Make it easier to understand the null hypothesis and whythe data led to the rejection or not of the null.
Page 1 and 2: Module 9: Nonparametric TestsThe Ap
Page 3 and 4: What Are Nonparametric Tests?} Nonp
Page 5 and 6: Restrictions} Nonparametric tests d
Page 7 and 8: Chi-Square Test} Used to test varia
Page 9: Chi-Square Goodness-of-Fit Test(con
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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