Faculty Development Workshop

Handout:

Presented by Eric A. Suess, Department of Statistics, esuess@csuhayward.edu

Analysis of  data in spssbook.sav.

Descriptive Statistics:

Graph > Histogram, Variable: Age

Analyze > Descriptive Statistics > Descriptives, Variable(s): Age, Educ, Wage, Work_Ex

Statistical Inference: Confidence Intervals and Hypothesis Tests

Graph > Boxplot > Simple, Variable: Wage, Category: Gender

Analyze > Custom Tables > Basic Tables, Summary: Wage, Statistics: Mean, Median, Standard Deviation

Hypothesis Test Null hypothesis mean wage for women and men is the same versus Alternative hypothesis mean wage is different

Analysis > Compare Means > Independent-Samples T Test, Test Variable(s): Wage, Grouping Variable: 0,1

Confidence Interval for mean wage of women and for the mean wage of men

Graph > Error Bar > Simple, Variable: Wage, Category Axis: Gender

Regression

Analyze > Correlate > Bivariate, Variable(s): Wage, Work_Ex, Educ, Age, Person

Analyze > Regression > Linear, Dependent: Wage, Independent: Work_Ex, Educ, Age, Plots: Normal Probability Plot

ANOVA

Graph > Error Bar > Simple, Variable: Wage, Category: Educ

Analyze > Compare Means > One-Way ANOVA, Dependent: Wage, Factor: Educ, Options: Homogeneity-of Variance.