Essentials of Statistics for Business and Economics
South-Western College Publishing
6th Edition
Book
Mixed media product
672 pages
978-1-111-53389-2 (ISBN)
Description
"Fundamentals of Statistics For Business and Economics, Revised, 6th Edition, International Edition" introduces sound statistical methodology to students with real-world examples, proven approaches, and hands-on exercises that build the foundation they need to analyze and solve business problems quantitatively. Complete with the author's signature problem-scenario approach and reader-friendly writing style, "Fundamentals of Statistics For Business and Economics, Revised, 6th Edition, International Edition" has been streamlined to focus on core topics, and updated with new case problems, applications, and self-test exercises to help student's master key formulas and apply statistical methods to realistic business scenarios. Optional, comprehensive support for the text includes CengageNow[trademark], the integrated online student learning and course management system that helps students and instructors make the most out of the course. Also available are the optional chapter appendices, which deliver in-depth coverage of a popular statistical software program, and can be integrated with the text.
Choose from Excel[registered] 2010, Minitab[registered] 16, PrecisionTree[registered] 2010, and StatTools[registered] 2010.
Choose from Excel[registered] 2010, Minitab[registered] 16, PrecisionTree[registered] 2010, and StatTools[registered] 2010.
More details
Edition
6th Revised edition
Language
English
Place of publication
Florence
United States
Publishing group
Cengage Learning, Inc
Target group
College/higher education
Edition type
Revised edition
Dimensions
Height: 246 mm
Width: 189 mm
Thickness: 20 mm
ISBN-13
978-1-111-53389-2 (9781111533892)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Content
1. Data and Statistics. 2. Descriptive Statistics: Tabular and Graphical Presentations. 3. Descriptive Statistics: Numerical Measures. 4. Introduction to Probability. 5. Discrete Probability Distributions. 6. Continuous Probability Distributions. 7. Sampling and Sampling Distributions. 8. Interval Estimation. 9. Hypothesis Tests. 10. Comparisons Involving Means, Experimental Design, and Analysis of Variance. 11. Comparisons Involving Proportions and a Test of Independence. 12. Simple Linear Regression. 13. Multiple Regression.