
Business Statistics
A Decision Making Approach
Pearson (Publisher)
7th Edition
Published on 14. June 2007
Book
Hardback
1072 pages
978-0-13-224001-7 (ISBN)
Description
For the 1 or 2 semester course in Business Statistics.
Emphasizing the use of statistical software like Excel and Minitab, this comprehensive text offers a rich array of business examples, real data, and a unique step-by-step framework that allows students to learn by doing.
Emphasizing the use of statistical software like Excel and Minitab, this comprehensive text offers a rich array of business examples, real data, and a unique step-by-step framework that allows students to learn by doing.
More details
Edition
7th edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Height: 276 mm
Width: 216 mm
ISBN-13
978-0-13-224001-7 (9780132240017)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition
David F. Groebner | Patrick W. Shannon | Phillip C. Fry
Business Statistics
A Decision-Making Approach and Student CD Update Package: United States Edition
Book
01/2005
6th Edition
Pearson
€99.76
Article exhausted; check for reprint
Content
Chapter 1: The Where, Why and How of Data Collection
Chapter 2: Graphs, Charts, and Tables - Describing Your Data
Chapter 3: Describing Data Using Numerical Measures
Chapter 4: Introduction to Probability
Chapter 5: Introduction to Discrete Probability Distributions
Chapter 6: Introduction to Continuous Probability Distributions
Chapter 7: Introduction to Sampling Distributions
Chapter 8: Estimating Single Population Parameters
Chapter 9: Introduction to Hypothesis Testing
Chapter 10: Estimation and Hypothesis Testing for Two Population Parameters
Chapter 11: Hypothesis Tests for One and Two Population Variances
Chapter 12: Analysis of Variance
Chapter 13: Goodness-of-Fit Tests and Contingency Analysis
Chapter 14: Introduction to Linear Regression and Correlation Analysis
Chapter 15: Multiple Regression and Model Building
Chapter 16: Analyzing and Forecasting Time-Series Data
Chapter 17: Introduction to Nonparametric Statistics
Chapter 18: Introduction to Quality and Statistical Process Control
Chapter 19: Introduction to Decision Analysis
Chapter 2: Graphs, Charts, and Tables - Describing Your Data
Chapter 3: Describing Data Using Numerical Measures
Chapter 4: Introduction to Probability
Chapter 5: Introduction to Discrete Probability Distributions
Chapter 6: Introduction to Continuous Probability Distributions
Chapter 7: Introduction to Sampling Distributions
Chapter 8: Estimating Single Population Parameters
Chapter 9: Introduction to Hypothesis Testing
Chapter 10: Estimation and Hypothesis Testing for Two Population Parameters
Chapter 11: Hypothesis Tests for One and Two Population Variances
Chapter 12: Analysis of Variance
Chapter 13: Goodness-of-Fit Tests and Contingency Analysis
Chapter 14: Introduction to Linear Regression and Correlation Analysis
Chapter 15: Multiple Regression and Model Building
Chapter 16: Analyzing and Forecasting Time-Series Data
Chapter 17: Introduction to Nonparametric Statistics
Chapter 18: Introduction to Quality and Statistical Process Control
Chapter 19: Introduction to Decision Analysis