Previous ed.: 2005.

Includes index.

pt. 1. AN INTRODUCTION TO STATISTICAL ANALYSIS. Variables and Their Measurement -- Setting up an SPSS Data File -- pt. 2. DESCRIPTIVE STATISTICS: GRAPHS AND TABLES. The Graphical Description of Data -- The Tabular Description of Data -- Using Tables to Investigate the Relationship between Variables: Crosstabulations -- Measures of Association for Crosstabulations: Nominal Data -- Measures of Association for Crosstabulations: Ranked Data -- Multivariate Analysis of Crosstabs: Elaboration -- pt. 3. DESCRIPTIVE STATISTICS: NUMERICAL MEASURES. Measures of Central Tendency -- Measures of Dispersion -- The Normal Curve -- Correlation and Regression -- Multiple Regression -- pt. 4. INFERENTIAL STATISTICS: TESTS FOR A MEAN. Sampling Distributions -- Introduction to Hypothesis Testing and the One-Sample Z-Test for a Mean -- The One-Sample T-Test for a Mean -- Inference Using Estimation and Confidence Intervals -- The Two-Samples T-Test for the Equality of Means -- The F-Test for the Equality of More Than Two Means: Analysis of Variance -- The Two Dependent Samples T-Test for the Mean Difference -- pt. 5. INFERENTIAL STATISTICS: TESTS FOR FREQUENCY DISTRIBUTIONS. One-Sample Tests for a Binomial Distribution -- One-Sample Tests for a Multinomial Distribution -- The Chi-Square Test for Independence -- Frequency Tests for Two Dependent Samples -- pt. 6. INFERENTIAL STATISTICS: OTHER TESTS OF SIGNIFICANCE. Rank-Order Tests for Two or More Samples -- The T-Test for a Correlation Coefficient -- pt. 7. ADVANCED TOPICS. Statistical Power -- Generating New Variables in SPSS: The Recode, Compute and Multiple Response Commands.