Applied Statistics in Business and Economics (häftad)
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Format
Häftad (Paperback)
Språk
Engelska
Antal sidor
864
Utgivningsdatum
2018-01-23
Upplaga
6
Förlag
McGraw-Hill Education
Medarbetare
Seward, Lori
Illustrationer
447 Illustrations, unspecified
Dimensioner
345 x 216 x 32 mm
Vikt
1535 g
Antal komponenter
1
ISBN
9781260092523
Applied Statistics in Business and Economics (häftad)

Applied Statistics in Business and Economics

Häftad Engelska, 2018-01-23
768
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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.
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Övrig information

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.

Innehållsförteckning

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