COVID-19 Update: We are currently shipping orders daily. However, due to transit disruptions in some geographies, deliveries may be delayed. To provide all customers with timely access to content, we are offering 50% off Science and Technology Print & eBook bundle options. Terms & conditions.
Introductory Statistics - 2nd Edition - ISBN: 9780080547343

Introductory Statistics

2nd Edition

Author: Sheldon Ross
eBook ISBN: 9780080547343
Imprint: Academic Press
Published Date: 18th March 2005
Page Count: 832
Sales tax will be calculated at check-out Price includes VAT/GST
Price includes VAT/GST

Institutional Subscription

Secure Checkout

Personal information is secured with SSL technology.

Free Shipping

Free global shipping
No minimum order.

Table of Contents

Introduction to Statistics
Describing Data Sets
Using Statistics to Summarize Data Sets
Discrete Random Variables
Normal Random Variables
Distributions of Sampling Statistics
Testing Statistical Hypotheses
Hypothesis Tests Concerning Two Populations
Analysis of Variance
Linear Regression
Chi-Squared Goodness of Fit Tests
Nonparametric Hypotheses Tests
Quality Control


No. of pages:
© Academic Press 2005
18th March 2005
Academic Press
eBook ISBN:

About the Author

Sheldon Ross

Sheldon Ross

Dr. Sheldon M. Ross is a professor in the Department of Industrial and Systems Engineering at the University of Southern California. He received his PhD 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, a Fellow of INFORMS, and a recipient of the Humboldt US Senior Scientist Award.

Affiliations and Expertise

Professor, Department of Industrial and Systems Engineering, University of Southern California, Los Angeles, USA

Ratings and Reviews