Applied Statistics in Business and Economics - Rilegato

Doane, David; Seward Senior Instructor Of Operations Management, Lori .

Rilegato

ISBN 10: 0077837304 ISBN 13: 9780077837303

Casa editrice: McGraw-Hill Education, 2015

Riassunto

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 5th edition remains the same: thinking about data, choosing appropriate analytic tools, using computers effectively, and recognizing limitations of statistics.

Su questo libro

L'autore:

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.

Contenuti:

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

Su questa edizione

• Editore: McGraw-Hill Education
• Data di pubblicazione: 2015
• ISBN 10: 0077837304
• ISBN 13: 9780077837303
• Rilegatura: Copertina rigida
• Numero edizione: 5
• Numero di pagine: 864