Understanding statistical analysis and modeling / Robert H. Bruhl, University of Illinois at Chicago, USA.

Includes index.

Part I. Research Design : -- 1. "Why" Conduct Research, and "Why" Use Statistics? -- 2. Methods of Quantitative Empirical Investigation -- Part II. Descriptive Statistics : -- 3. The Frequency Distribution Report: Organizing a Set of Observations -- 4. The Mode, the Median, and the Mean: Describing a Typical Value of a Quantitative Property Observed for a Set of Phenomena -- 5. The Variance and the Standard Deviation: Describing the Variability Observed for a Quantitative Property of a Set of Phenomena -- 6. The z-Transformation and Standardization: Using the Standard Deviation to Compare Observations -- Part III. Statistical Inference and Probability : -- 7. The Concept of a Probability -- 8. Coexisting Properties and Joint Probability Models -- 9. Sampling and the Normal Probability Model -- Part IV. Tools For Making Statistical Inferences : -- 10. Estimation Studies: Inferring the Parameters of a Population from the Statistics of a Sample -- 11. Chi-Square Analysis: Investigating a Suspected Association Between Two Qualitative Properties -- 12. The t-Test of Statistical Significance: Comparing a Quantitative Property Assessed for Two Different Groups -- 13. Analysis of Variance: Comparing a Quantitative Property Assessed for Several Different Groups -- 14. Correlation Analysis and Linear Regression: Assessing the Covariability of Two Quantitative Properties.