Business Statistics: Real World Application, Preliminary Edition

Edition: 0

Copyright: 2024

Pages: 219

Edition: 1

Copyright: 2024

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ISBN 9798765799345

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ISBN 9798385154340

Details Electronic Delivery EBOOK 180 days

Business Statistics: Real World Application simplifies the most difficult concepts in Business Statistics and teaches students how to apply those concepts to real world applications. With the associated tools and resources provided, Business Statistics: Real World Application makes it easy for professors to successfully teach the material and for students to comprehend and relate to the material. There is an emphasis on how to use statistics in the decision-making process and how to avoid the pitfalls of using statistics incorrectly in the decision-making process. 

Preface 
CHAPTER 1: Basic Concepts in Statistics
CHAPTER 2: Describing and Presenting Data
CHAPTER 3: Measures of Central Location
CHAPTER 4: Presentation and Analysis of Numerical Data
CHAPTER 5: Basic Concepts of Probability
CHAPTER 6: Probability Distributions
CHAPTER 7: Normal Distributions
CHAPTER 8: Sampling Methodology and the Central Limit Theorem
CHAPTER 9: Estimating Population Parameters Using Confidence Intervals 
CHAPTER 10: Hypothesis Testing
CHAPTER 11: Two-Sample Hypothesis Tests
CHAPTER 12: Correlation Analysis, Linear Regression, and Multiple Regression

Donald Hurwitz
ZACHARY KELLEY

Business Statistics: Real World Application simplifies the most difficult concepts in Business Statistics and teaches students how to apply those concepts to real world applications. With the associated tools and resources provided, Business Statistics: Real World Application makes it easy for professors to successfully teach the material and for students to comprehend and relate to the material. There is an emphasis on how to use statistics in the decision-making process and how to avoid the pitfalls of using statistics incorrectly in the decision-making process. 

Preface 
CHAPTER 1: Basic Concepts in Statistics
CHAPTER 2: Describing and Presenting Data
CHAPTER 3: Measures of Central Location
CHAPTER 4: Presentation and Analysis of Numerical Data
CHAPTER 5: Basic Concepts of Probability
CHAPTER 6: Probability Distributions
CHAPTER 7: Normal Distributions
CHAPTER 8: Sampling Methodology and the Central Limit Theorem
CHAPTER 9: Estimating Population Parameters Using Confidence Intervals 
CHAPTER 10: Hypothesis Testing
CHAPTER 11: Two-Sample Hypothesis Tests
CHAPTER 12: Correlation Analysis, Linear Regression, and Multiple Regression

Donald Hurwitz
ZACHARY KELLEY