Overview

Full Product Details

Author:   David Doane ,  Lori Seward
Publisher:   McGraw-Hill Education - Europe
Imprint:   McGraw-Hill Professional
Edition:   2nd edition
Dimensions:   Width: 22.40cm , Height: 2.80cm , Length: 28.20cm
Weight:   1.531kg
ISBN:  

9780077312367

ISBN 10:   0077312368
Publication Date:   16 February 2009
Audience:   College/higher education ,  Undergraduate
Format:   Mixed media product
Publisher's Status:   Out of Print
Availability:   In Print  
Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock.

Table of Contents

Essential Statistics in Business & Economics 2nd Edition Table of Contents: Chapter 1 - Overview of Statistics Chapter 2 - Data Collection Chapter 3 - Describing Data Visually Chapter 4 - Descriptive Statistics Chapter 5 - Probability Chapter 6 - Discrete Probability Distributions Chapter 7 - Continuous Probability Distributions Chapter 8 - Sampling Distributions and Estimation Chapter 9 - One-Sample Hypothesis Tests Chapter 10 - Two-Sample Hypothesis Tests Chapter 11 - Analysis of Variance Chapter 12 - Simple Regression Chapter 13 - Multiple Regression Chapter 14 - Chi-Square Tests Appendixes A - Exact Binomial Probabilities B - Exact Poisson Probabilities C - Standard Normal Areas D - Cumulative Standard Normal Distribution E - Chi-Square Critical Values F - Critical Values of F G - Solutions to Odd-Numbered Exercises H - Answers to Exam Review Questions

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Author Information

David P. Doane is Professor of Quantitative Methods in Oakland University's Department of Decision and Information Sciences. He earned his Bachelor of Arts degree in mathematics and economics at the University of Kansas and his PhD from Purdue University's Krannert Graduate School. Lori E. Seward is an Instructor in the Decisions Sciences Department in the College of Business at The University of Colorado at Denver and Health Sciences Center. She earned her Bachelor of Science and Master of Science degrees in Industrial Engineering at Virginia Tech. After several years working as a reliability and quality engineer in the paper and automotive industries, she earned her PhD from Virginia Tech.

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