ISE Applied Statistics in Business and Economics

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.

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