Introductory Statistics

About the Author Neil A. Weiss received his Ph.D. from UCLA in 1970 and subsequently accepted an Assistant-Professor position at Arizona State University, where he was ultimately promoted to therank of Full Professor. Dr. Weiss has taught statistics, probability, andmathematics-from the freshman level to the advanced graduate level-for morethan 30 years. In recognition of his excellence in teaching, Dr. Weiss received the Dean's Quality Teaching Award from the ASU College of Liberal Arts and Sciences.   This comprehensive knowledge andexperience ensures that Weiss's texts are mathematically and statistically accurate as well as pedagogically sound. In addition to his numerous research publications, Dr. Weiss has authored or co-authored books in finite mathematics, statistics, and real analysis, and is currently working on two new books: one in probability theory and the other in applied regression analysis and analysisof variance. Weiss's texts-well known for their precision, readability, and pedagogical excellence-are used worldwide. Dr. Weiss is a pioneer of the integration of statistical software into textbooks and the classroom, first providing such integration over 20 years ago in the book Introductory Statistics (Addison-Wesley, 1982). Weiss and Addison-Wesley continue this pioneering spirit to this day with the inclusion of some of the most comprehensive Web sites in the field. In his spare time, Dr. Weiss enjoys walking, studying and practicing meditation, and playing hold 'em poker. He has two sons.

 1. The Nature of Statistics


 2. Organizing Data


 3. Descriptive Measures


 4. Probability Concepts


 5. Discrete Random Variables


 6. The Normal Distribution


 7. The Sampling Distribution of the Sample Mean


 8. Confidence Intervals for One Population Mean


 9. Hypothesis Tests for One Population Mean


10. Inferences for Two Population Means


11. Inferences for Population Standard Deviations


12. Inferences for Population Proportions


13. Chi-Square Procedures


14. Descriptive Methods in Regression and Correlation


15. Inferential Methods in Regression and Correlation


16. Analysis of Variance (ANOVA)


Module A: Multiple Regression Analysis (on CD)


Module B: Model Building in Regression (on CD)


Module C: Design of Experiments and Analysis of Variance (on CD)