Statistics
A First Course
McGraw-Hill Inc.,US (Publisher)
5th Edition
Published on 1. January 1995
Book
Hardback
736 pages
978-0-07-054900-5 (ISBN)
Article exhausted; check for reprint
Description
An introduction to statistics for beginners. This text uses over 2100 examples drawn from health care, business and economics, the social and physical sciences, engineering and education to demonstrate the usefulness of statistical analysis techniques in tackling problems. Minicases are included, providing real-world examples of statistical applications - these can be used to stimulate class discussions. This edition includes a chapter on quality control, which introduces several types of quality control procedures and charts that are important for industry. Examples of how computer statistical software packages may be used to eliminate computational drudgery and support analysis and decision-making efforts are integrated throughout the text. A computer exercise section at the end of each chapter gives students further practice in using statistical software.
More details
Edition
5th Revised edition
Language
English
Place of publication
New York
United States
Publishing group
McGraw-Hill Education - Europe
Target group
College/higher education
Edition type
Revised edition
Illustrations
appendices
Dimensions
Height: 240 mm
Weight
1480 gr
ISBN-13
978-0-07-054900-5 (9780070549005)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions

Donald Sanders | Robert Smidt
Statistics: A First Course with Data CD
Book
11/1999
6th Edition
McGraw-Hill Professional
€97.22
Article is exhausted; no reprint
Book
10/1999
6th Edition
McGraw-Hill Inc.,US
€81.70
The article will not be published
Content
Let's get started; liars, # $ per cent & liars, and a few statisticians; descriptive; probability concepts; probability distributions; sampling concepts; estimating parameters; testing hypotheses - one-sample procedures; testing hypotheses - two-sample procedures; quality control; analysis of variance; chi-square tests - goodness-of-fit and contingency table methods; linear regression and correlation; nonparametric statistical methods.