Includes index .

Chapter1. Describing data with graphs -- Chapter2. Describing data with numerical measures -- Chapter3. Describing bivariate data -- Chapter4. Probability and probability distribution -- Chapter5. Several useful discrete distribution -- Chapter6. The normal probability distribution -- Chapter7. Sampling distributions -- Chapter8. Large-sample estimation -- Chapter9. Large-sample test of hypotheses -- Chapter10. Inference from small samples -- Chapter11. The analysis of variance -- Chapter12. Linear regression and correlation -- Chapter13. Multiple regression analysis -- Chapter14. Analysis of categorical data -- Chapter15. Nonparametric statistics .

With the information revolution of the 1990s came an increase dependency on computers which are now a common tool for college students in all disciplines, In this tenth edition of Introduction to Probability and Statistics, we have used the computational shortcuts that computers provide that gives us more time to emphasize statistical reasoning as well as the understanding and interpretation of statistical results .