
ISE Applied Statistics in Business and Economics
McGraw-Hill Education (Publisher)
6th Edition
Published on 23. January 2018
Book
Paperback/Softback
866 pages
978-1-260-09252-3 (ISBN)
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Description
Applied Statistics in Business and Economics provides real meaning to the use of statistics in the real world by using real business situations and real data while appealing students to know the why, rather than just the how. Four distinct objectives have been met to follow this premise:
Objective 1: Communicate the Meaning of Variation in a Business Context
Objective 2: Use Real Data and Real Business Applications
Objective 3: Incorporate Current Statistical Practices and Offer Practical Advice
Objective 4: Provide More In-Depth Explanation of the Why and Let the Software Take Care of the How
The emphasis of the 6th edition remains the same; thinking about data, choosing appropriate analytic tools, using computers effectively, and recognizing limitations of statistics.
Objective 1: Communicate the Meaning of Variation in a Business Context
Objective 2: Use Real Data and Real Business Applications
Objective 3: Incorporate Current Statistical Practices and Offer Practical Advice
Objective 4: Provide More In-Depth Explanation of the Why and Let the Software Take Care of the How
The emphasis of the 6th edition remains the same; thinking about data, choosing appropriate analytic tools, using computers effectively, and recognizing limitations of statistics.
More details
Edition
6th edition
Language
English
Place of publication
OH
United States
Target group
College/higher education
US School Grade: From College Freshman to College Graduate Student
Illustrations
447 Illustrations
Dimensions
Height: 272 mm
Width: 216 mm
Thickness: 28 mm
Weight
1597 gr
ISBN-13
978-1-260-09252-3 (9781260092523)
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
New editions

David Doane | Lori Seward
Applied Statistics in Business and Economics ISE
Book
03/2021
7th Edition
McGraw-Hill Education
€70.55
Article not available at the moment
Persons
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.
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.
Content
CHAPTER ONE: Overview of Statistics
CHAPTER TWO: Data Collection
CHAPTER THREE: Describing Data Visually
CHAPTER FOUR: Descriptive Statistics
CHAPTER FIVE: Probability
CHAPTER SIX: Discrete Probability Distributions
CHAPTER SEVEN: Continuous Probability Distributions
CHAPTER EIGHT: Sampling Distributions and Estimation
CHAPTER NINE: One-Sample Hypothesis Tests
CHAPTER TEN: Two-Sample Hypothesis Tests
CHAPTER ELEVEN: Analysis of Variance
CHAPTER TWELVE: Simple Regression
CHAPTER THIRTEEN: Multiple Regression
CHAPTER FOURTEEN: Time-Series Analysis
CHAPTER FIFTEEN: Chi-Square Tests
CHAPTER SIXTEEN: Nonparametric Tests
CHAPTER SEVENTEEN: Quality Management
CHAPTER EIGHTEEN: Simulation
CHAPTER TWO: Data Collection
CHAPTER THREE: Describing Data Visually
CHAPTER FOUR: Descriptive Statistics
CHAPTER FIVE: Probability
CHAPTER SIX: Discrete Probability Distributions
CHAPTER SEVEN: Continuous Probability Distributions
CHAPTER EIGHT: Sampling Distributions and Estimation
CHAPTER NINE: One-Sample Hypothesis Tests
CHAPTER TEN: Two-Sample Hypothesis Tests
CHAPTER ELEVEN: Analysis of Variance
CHAPTER TWELVE: Simple Regression
CHAPTER THIRTEEN: Multiple Regression
CHAPTER FOURTEEN: Time-Series Analysis
CHAPTER FIFTEEN: Chi-Square Tests
CHAPTER SIXTEEN: Nonparametric Tests
CHAPTER SEVENTEEN: Quality Management
CHAPTER EIGHTEEN: Simulation