Designed for introductory-level statistics courses, Understanding Statistics for the Social Sciences, Criminal Justice, and Criminology presents the fundamentals of statistics in a clear and simplified format. This accessible text addresses all of the basics of statistical analysis while still providing the reader with the larger view of statistics. The authors focus on calculating the basic formulas yet preserve enough advanced material to prepare the student for further study. The book also provides information on deciding when to use particular statistical analyses, how to input and analyze data through programs such as Microsoft Excel and SPSS, the interpretation of statistical output, and making conclusions based on those results. The student-friendly and simplified presentation of Understanding Statistics makes it the ideal introductory statistics text and will provide readers with a strong foundation in statistics - conceptually and pragmatically.Understanding Statistics for the Social Sciences, Criminal Justice, and Criminology boasts a variety of in-text study aids, such as key terms, equation summaries, exercises, end-of-chapter references, and suggested readings, and an equation glossary; as well as a collection of online study tools housed on the dedicated student companion website. The student-friendly presentation of the material coupled with the rich variety of student and instructor resources make Understanding Statistics the ideal introductory statistics text for undergraduate students! Every new printed copy is packaged with full access to the student companion website featuring a a rich variety of study tools! (eBook version does not include access to the student companion website. Standalone access can be purchased here http://www.jblearning.com/catalog/9781449649234/) Student Resources: -Microsoft and Excel SPSS data sets -Companion website featuring: *interactive flashcards *interactive glossary *practice quiz (with answers) *student data sets, in Excel and SPSS, that correlate to the chapter material *weblinks