Introductory Statistics

Introductory Statistics

3.1 (10 ratings by Goodreads)
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Description

Although a wealth of college textbooks in Introductory Statistics is currently available, Ross' book stands out as a unique accomplishment in this category. 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.
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Product details

  • Hardback | 832 pages
  • 196 x 234 x 32mm | 1,501.41g
  • Academic Press Inc
  • San Diego, United States
  • English
  • 2nd edition
  • 012597132X
  • 9780125971324
  • 2,135,883

Review quote

"This is an excellent text. Possibly the best introductory text I have ever taught out of and I have been teaching Introductory Statistics since 1979. I have been using the book for the last three years and ...cannot think of any reason why I would ever switch to another text. "
- Vincent Lariccia, University of Delaware

" Ross has done an outstanding job in the number and quality of his exercises. The examples are realistic, stimulating and cover a wide variety of practical situations. Ross is a master in clear and concise exposition...his style will appeal to students taking their first course in Statistics. I would definitely recommend adoption."
- John Deely, Purdue University
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Table of contents

Preface
Introduction to Statistics
Describing Data Sets
Using Statistics to Summarize Data Sets
Probability
Discrete Random Variables
Normal Random Variables
Distributions of Sampling Statistics
Estimation
Testing Statistical Hypotheses
Hypothesis Tests Concerning Two Populations
Analysis of Variance
Linear Regression
Chi-Squared Goodness of Fit Tests
Nonparametric Hypotheses Tests
Quality Control
Appendixes
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About Sheldon M. 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.
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Rating details

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