POLS 626

Exam 1 Review Sheet

Last updated: 2/17/05

 

This review is intended to give you a general idea of what may appear on the exam.  The exam will cover material from the assigned readings and material that was presented in the lecture. 

 

Please bring a calculator.

 

I. Data Structure (Woodridge pp5-13)

II. Causality (Woodridge pp13-17)

III. Levels of measurement

            Nominal

            Ordinal

            Interval/Ratio

IV. Descriptive Statistics

V. ANOVA

            Manual calculation (SPSS)

VI. Measures of Association

A. Crosstabs

            Know how to produce a cross-tabulation

            Know how to read a cross-tabulation (both bivariate and multivariate)     

            Know how to control for a third variable (Nominal and ordinal variables only)

            (SPSS)

B. Tests of statistical significance and measures of association

            Know how to write a hypothesis

            Know how to test a hypothesis

                        Statistical significance

                        Strength of association

                        Direction of association

                        Substantive interpretation

            Bivariate association

                        Cramer’s V, Tau b, Tau c, Pearson’s r

            Controlling for a third variable (Nominal and ordinal variables only)

                        Cramer’s V, Tau b, Tau c

            (SPSS)

VII. Two-variable regression analysis 

A. Intercept and slope coefficient (estimation and interpretation)

B. Population/sample regression function (Diagram for PRF and SRF)  

C. The difference between ui and ui hat and yi and yi hat

D. Goodness of Fit

E. Assumptions

F. Calculating ui hat and yi hat

F. SPSS

VIII. Multiple regression analysis

A. Intercept and slope coefficients (interpretation)

B. Assumptions

C. Testing Hypotheses

Against One-sided and Two-sided Alternatives, Computing p-values for t Tests

                        Example 4.3

D. Economic, or Practical, versus Statistical Significance

E. Confidence Intervals

F. Testing Multiple Linear Restrictions: The F Test

            The R-Squared Form of the F Statistic

G. The F Statistic for Overall Significance of a Regression

C. SPSS

           

IX. The following formulae will be provided. The tables for t and F will also be provided

 

ANOVA

           

 

SIMPLE REGRESSION ANALYSIS

            Estimation of SRF

 

           

           

 

Hypothesis Testing

 

GOODNESS OF FIT

 

           

 

LOGARITHMIC FUNCTION

 

MULTIPLE REGRESSION

 

            Hypothesis Testing

           

 

Confidence Intervals

           

 

Testing Multiple Linear Restrictions

 

           

           

 

            The F Statistics for Overall Significance of a Regression