Data Analysis for Social Scientists A First Course in Applied Statistics

1. A FIRST LOOK AT DATA A Sample Dataset / Types of Variables / Frequency Distributions / Aggregate Data / Sample and Population / Relations Between Variables / Statistics and the Social Sciences 2. GRAPHING MEASUREMENT VARIABLE DISTRIBUTIONS Histograms / Graphing Cumulative Frequency Distributions (Optional) / Graphs and Distribution Shape / Stem-and-Leaf Displays / Time Plots / Scatterplots 3. SUMMARIZING CENTER AND SPREAD Arithmetic Mean / Variance and Standard Deviation / Median / Median, Mean, and Shape / Quartiles and Boxplots / Modes 4. INTRODUCTION TO PROBABILITY Reasoning with Probability / Basic Concepts of Probability / A Note on Risks and the Multiplication Rule / Probabilities and Cross-Tabulation / Randomness and Sampling / Sampling Distributions 5. THEORETICAL DISTRIBUTIONS Binomial Distribution (Optional) / Poisson Distribution (Optional) / Normal Distribution / Normal Distribution Probabilities / Chi-square Distribution (Optional) / t Distribution (Optional) / F Distribution (Optional) 6. ONE-SAMPLE INTERVALS AND TESTS Student Grades Dataset / Large-Sample Confidence Intervals for Proportions / Logic of Hypothesis Testing / Large-Sample Hypothesis Tests for Proportions / Confidence Intervals for Means / One-Sample t Tests for Means / Paired-Difference Intervals and Tests for Means / One-Sample Sign Tests for Medians / How Large a Sample Do We Need? (Optional) 7. CROSS TABULATION AND CHI-SQUARE TESTS Percentages in Cross-Tabulation / Independence and Expected Frequencies / Chi-square Test of Independence / Comparing Two Proportions / Thin Cells / Sample Size and Significance Tests / Three or More Variables: Multiway Cross-Tabulation (Optional) / Experiments, Multivariate Analysis, and Causality (Optional) 8. ANOVA AND OTHER COMPARISON METHODS Two-Sample t Test / Mann-Whitney Test (Wilcoxon Rank Sum Test) / One-way Analysis of Variance / Kruskal-Wallis Test / Error-Bar Plots (Optional) / Two-way ANOVA (OPTIONAL) 9. SIMPLE REGRESSION Scatterplot and Regression Line / Predicted Values and Residuals / Correlation and R2 / Confidence Intervals / Hypothesis Tests / A Note of Caution 10. MORE ABOUT REGRESSION (OPTIONAL) Regression Troubleshooting / Multiple Regression in Theory / Multiple Regression in Practice / Standardized Regression Coefficients (Beta Weights) / Dummy Variables / Robust Regression / Regression with Transformed Variables / ANSWERS TO SELECTED EXERCISES / STATISTICAL TABLES / REFERENCES / INDEXHamilton, Lawrence C. is the author of 'Data Analysis for Social Scientists A First Course in Applied Statistics' with ISBN 9780534247201 and ISBN 0534247202.