Student Solutions Manual for Introductory Statistics - 2nd Edition - ISBN: 9780120885510, 9780080916682

Student Solutions Manual for Introductory Statistics

2nd Edition

Authors: Sheldon Ross
Paperback ISBN: 9780120885510
eBook ISBN: 9780080916682
Imprint: Academic Press
Published Date: 11th October 2005
Page Count: 368

Institutional Access


Description

This handy supplement shows students how to come to the answers shown in the back of the text. It includes solutions to all of the odd numbered exercises.

The text itself: In this second edition, master expositor Sheldon Ross has produced a unique work in introductory statistics. The text's main merits are the clarity of presentation, examples and applications from diverse areas, and most importantly, an explanation of intuition and ideas behind the statistical methods. To quote from the preface, "it is only when a student develops a feel or intuition for statistics that she or he is really on the path toward making sense of data." Consistent with his other excellent books in Probability and Stochastic Modeling, Ross achieves this goal through a coherent mix of mathematical analysis, intuitive discussions and examples.

Readership

This text is written for the introductory non-calculus based statistics course offered in mathematics and/or statistics departments for undergraduate students of any major who take a semester course in basic Statistics or a year course in Probability and Statistics.

Details

No. of pages:
368
Language:
English
Copyright:
© Academic Press 2005
Published:
Imprint:
Academic Press
eBook ISBN:
9780080916682
Paperback ISBN:
9780120885510

About the Author

Sheldon Ross

Sheldon M. Ross is a professor in the Department of Industrial Engineering and Operations Research at the University of Southern California. He received his Ph.D. in statistics at Stanford University in 1968. He has published many technical articles and textbooks in the areas of statistics and applied probability. Among his texts are A First Course in Probability, Introduction to Probability Models, Stochastic Processes, and Introductory Statistics. Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences. He is a Fellow of the Institute of Mathematical Statistics, and a recipient of the Humboldt US Senior Scientist Award.

Affiliations and Expertise

University of Southern California, Los Angeles, USA