Introductory statistics / Sheldon M. Ross.

By:

Ross, Sheldon M

Material type: Text

TextPublication details: Amsterdam [u.a.] : Elsevier [u.a.], 2010.Edition: 3rd. edDescription: XXI, 818 p. : Ill., graph. DarstISBN:

0123743885
9780123743886

Subject(s):

DDC classification:

519.5 ROS

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Enhanced descriptions from Syndetics:

Introductory Statistics, Third Edition, presents statistical concepts and techniques in a manner that will teach students not only how and when to utilize the statistical procedures developed, but also to understand why these procedures should be used. This book offers a unique historical perspective, profiling prominent statisticians and historical events in order to motivate learning.

To help guide students towards independent learning, exercises and examples using real issues and real data (e.g., stock price models, health issues, gender issues, sports, scientific fraud) are provided. The chapters end with detailed reviews of important concepts and formulas, key terms, and definitions that are useful study tools. Data sets from text and exercise material are available for download in the text website.

This text is designed for introductory non-calculus based statistics courses that are offered by mathematics and/or statistics departments to undergraduate students taking a semester course in basic Statistics or a year course in Probability and Statistics.

Table of contents provided by Syndetics

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
Appendices

Author notes provided by Syndetics

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.