Statistics

An introduction to statistics which features explanations, reinforced with examples and applications. Among the applications are case studies using actual research data to demonstrate important concepts and techniques. Examples incorporate more computer techniques and draw on a wide range of material from psychology, political science, criminal justice and other social sciences. The text features a treatment of regression analysis: simple regression, multiple regression and model building, with a selection of real world case studies and over 1,000 exercises. There are also sample print-outs for leading statistical software packages including MINITAB, SAS, and SPSS. m

Key Benefit: This book presents balanced coverage of the theory and application of statistics while enhancing critical thinking skills. It teaches readers how to analyze data that appears in situations in the world around them—almost all of the examples and exercises are based on current, real-world applications pulled from journals, magazines, news articles, and commerce. Key Topics: Chapter 1is entirely rewritten, to emphasize statistical thinking, and acquaints the student with the importance of data collection, observations, experiments, and surveys in drawing meaningful inferences from data. Chapter 2 offers more thorough coverage of data collection and descriptive analytical tools. Chapter 7-9 more heavily stress confidence intervals and rely more heavily on computer output than on formulas. Chapter 8 now provides an equal balance between applications relying on p-values and those relying on critical values in their interpretation. The regression chapters, Chapter 11-13, give greater attention to the ideas of auto correlation and to independent and independent samples.