Applied Statistics in Business and Economics
McGraw-Hill Education (Verlag)
978-1-260-71628-3 (ISBN)
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 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: Time-Series Analysis
Chapter 15: Chi-Square Tests
Chapter 16: Nonparametric Tests
Chapter 17: Quality Management
Chapter 18: Simulation 1
Erscheinungsdatum | 15.01.2021 |
---|---|
Zusatzinfo | Illustrations |
Verlagsort | OH |
Sprache | englisch |
Gewicht | 1755 g |
Themenwelt | Mathematik / Informatik ► Mathematik ► Statistik |
Wirtschaft ► Betriebswirtschaft / Management | |
ISBN-10 | 1-260-71628-7 / 1260716287 |
ISBN-13 | 978-1-260-71628-3 / 9781260716283 |
Zustand | Neuware |
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