Introductory Statistics

Front Cover
Academic Press, Jan 19, 2010 - Mathematics - 848 pages
0 Reviews

In this 3rd edition revised text, master expositor Sheldon Ross has produced a unique work in introductory statistics. The text's main merits are the clarity of presentation, contemporary examples and applications from diverse areas, and an explanation of intuition and ideas behind the statistical methods. Concepts are motivated, illustrated and explained in a way that attempts to increase one's intuition. 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."

Ross achieves this goal through a coherent mix of mathematical analysis, intuitive discussions and examples.

Applications and examples refer to real-world issues, such as gun control, stock price models, health issues, driving age limits, school admission ages, use of helmets, sports, scientific fraud and many others.

Ancillary list:

  • Instructor's Manual - http://textbooks.elsevier.com/web/manuals.aspx?isbn=9780123743886
  • Student Solutions Manual - http://www.elsevierdirect.com/product.jsp?isbn=9780123743886
  • Student Solutions Manual for 2nd Edition - http://www.elsevierdirect.com/product.jsp?isbn=9780120885510
  • Sample Chapter, eBook - http://www.elsevierdirect.com/product.jsp?isbn=9780123743886
  • Companion Website w/Data Sets - http://www.elsevierdirect.com/companion.jsp?ISBN=9780123743886


  • Unique historical perspective profiling prominent statisticians and historical events to motivate learning by providing interest and context
  • Use of exercises and examples helps guide the student towards indpendent learning using real issues and real data, e.g. stock price models, health issues, gender issues, sports, scientific fraud.
  • Summary/Key Terms- chapters end with detailed reviews of important concepts and formulas, key terms and definitions which are useful to students as study tools
  • Data sets from text and exercise material will be available to download from the text website, saves students time
 

What people are saying - Write a review

We haven't found any reviews in the usual places.

Contents

Chapter 1 Introduction to Statistics
1
Chapter 2 Describing Data Sets
17
Chapter 3 Using Statistics to Summarize Data Sets
71
Chapter 4 Probability
145
Chapter 5 Discrete Random Variables
209
Chapter 6 Normal Random Variables
261
Chapter 7 Distributions of Sampling Statistics
297
Chapter 8 Estimation
331
Chapter 12 Linear Regression
537
Chapter 13 ChiSquared GoodnessofFit Tests
605
Chapter 14 Nonparametric Hypotheses Tests
647
Chapter 15 Quality Control
699
Appendices
727
Appendix C How to Choose a Random Sample
735
Appendix D Tables
739
Appendix E Programs
755

Chapter 9 Testing Statistical Hypotheses
387
Chapter 10 Hypothesis Tests Concerning Two Populations
443
Chapter 11 Analysis of Variance
503
Answers to OddNumbered Problems
757
Index
807
Copyright

Other editions - View all

Common terms and phrases

About the author (2010)

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.

Bibliographic information