1. Statistics & SPSS Review Fall 2009

2. Types of Measures / Variables Nominal / categorical – Gender, major, blood type, eye color Ordinal – Rank-order of favorite films; Likert scales? Interval / scale – Time, money, age, GPA

3. Variable TypeExampleCommonly-used Statistical Method Nominal by Nominalblood type by genderChi-square Scale by NominalGPA by gender GPA by major t-test Analysis of Variance Scale by Scaleweight by height GPA by SAT Regression Correlation Main Analysis Techniques

4. Variable TypeExampleCommonly-used Statistical Method Nominal by Nominalblood type by gender Chi-square Scale by NominalGPA by gender GPA by major t-test Analysis of Variance Scale by Scaleweight by height GPA by SAT Regression Correlation Main Analysis Techniques

5. SPSS Cross –tab with Chi-Square

6. p <.05

7. Variable TypeExampleCommonly-used Statistical Method Nominal by Nominalblood type by genderChi-square Scale by NominalGPA by gender GPA by major t-test Analysis of Variance Scale by Scaleweight by height GPA by SAT Regression Correlation Main Analysis Techniques

8. SPSS t-test Output

9. 1. Read means 2. Read Levene’s Test 3. Read p value

10. Variable TypeExampleCommonly-used Statistical Method Nominal by Nominalblood type by gender Chi-square Scale by NominalGPA by gender GPA by major t-test Analysis of Variance Scale by Scaleweight by height GPA by SAT Regression Correlation Analysis of Variance

11. SPSS ANOVA output

12. p value

13. Variables & Statistical Tests Variable TypeExampleCommon Stat Method Nominal by nominal Blood type by gender Chi-square Scale by nominalGPA by gender GPA by major T-test Analysis of Variance Scale by scaleWeight by height GPA by SAT Regression Correlation

14. Variance   x i - Mean ) 2 Variance = s 2 = ----------------------- N Standard Deviation = s =  variance

15. Regression line W = 3.3 H - 73

16. Scatterplot: Sentence by G.P.A.

17. Regression Coefficients Sentence = -3.5 G.P.A. + 18

18. Correlation

19. Correlation: Sentence & G.P.A.

20. p value

21. Interpreting r as r 2 r = -.22 r 2 =.05 G.P.A. “explains” 5% of variance in SENTENCE length Correlation