Essential Statistics in Business and Economics 3rd Edition By David Doane and Lori Seward © 2020 Test Bank and Solution Manual
- Publisher: McGraw-Hill College; 3rd ed. edition (Jan. 11 2019)
- Language: English
- ISBN-10: 1260493792
- ISBN-13: 978-1260493795
- ISBN-10: 1260239500
- ISBN13: 9781260239508
Essential Statistics in Business and Economics 3rd Doane Test Bank
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Essential Statistics in Business and Economics
- Essential Statistics includes a full integration of Excel and motivates student learning with current, real-world exercises and cases.
- Business Stat Prep, guided examples, and excel assets are available within Connect to help students succeed.
- Connect is an easy-to-use homework and learning management solution that embeds learning science and award-winning adaptive tools to improve student results.
About the Author
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.
Table of Contents
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: Chi-Square Tests
A Binomial Probabilities
B Poisson Probabilities
C-1 Standard Normal Areas
C-2 Cumulative Standard Normal Distribution
D Student’s t Critical Values
E Chi-Square Critical Values
F Critical Values of F.10
G Solutions to Odd-Numbered Exercises
H Answers to Exam Review Questions
I Writing and Presenting Reports
J Excel Statistical Functions
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