Introduction to Business Statistics
Ronald M. Weiers(Author)
Brooks/Cole (Publisher)
3rd Edition
Published on 29. December 1997
Book
Hardback
1056 pages
978-0-534-34892-2 (ISBN)
Article exhausted; check for reprint
Description
This text takes an informal, student-oriented approach as it teaches the basic statistical and data analysis methods used in business. Realizing that many business students are intimidated by this course, the author provides numerous learning aids and many applications drawn from the students' world. Nontechnical terminology is used to describe statistical concepts along with real data, examples and vignettes.
More details
Edition
3rd Revised edition
Language
English
Place of publication
CA
United States
Publishing group
Cengage Learning, Inc
Target group
College/higher education
Edition type
Revised edition
Illustrations
colour illustrations
Dimensions
Height: 267 mm
Width: 210 mm
Weight
1837 gr
ISBN-13
978-0-534-34892-2 (9780534348922)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Ronald M. Weiers
Introduction to Business Statistics: International Student Edition
Book
01/2005
6th Edition
Duxbury Press
€81.89
Article is exhausted, reprint undefined
Ronald M. Weiers
Introduction to Business Statistics
Book
12/2001
4th Edition
Duxbury Press
€76.94
Article is exhausted; no reprint
Previous edition
Weiers
Intro Busns Stats
Book
08/1998
2nd Edition
Brooks/Cole
€97.99
Article exhausted; check for reprint
Content
Part 1 Business statistics: introduction and background. A Preview of Business Statistics. Visual Description of Data. Statistical Description of Data. Part 2 Probability. Probability - Review of Basic Concepts. Discrete Probability Distributions. Continuous Probability Distributions. Part 3 Sampling. Sampling and Sampling Distributions. Estimation from Sample Data. Part 4 Hypothesis testing. Hypothesis Tests Involving a Sample Mean or Proportion. Hypothesis Tests Involving Two Sample Means or Proportions. Analysis of Variance Tests. Chi-Square Applications. Nonparametric Methods. Part 5 Regression and correlation, time series and index numbers. Simple Linear Regression and Correlation. Multiple Regression and Correlation. Models for Time Series and Forecasting. Index Numbers. Part 6 Special topics. Total Quality Management. Decision Theory. Business and Survey Research. Ethics in Statistical Analysis and Reporting.