Applied Statistics In Business
6th Edition
9390113040
·
9789390113040
© 2020 | Published: June 30, 2020
OVERVIEWThis text explains the meaning of variation in the context of business, with the help of real data and realbusiness applications. It focuses not only on an in-depth explanation of the concepts but also demonstrates easily mastered software te…
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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
INDIAN CASES
Case 1 Demand Supply Gap
Case 2 Use of Probability Distribution in Healthcare
Case 3 Use of Statistical Inference in Marketing
Case 4 Use of ANOVA
Case 5 Use of Simple and Multiple Regression
Case 6 Use of Time Series Analysis
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
INDIAN CASES
Case 1 Demand Supply Gap
Case 2 Use of Probability Distribution in Healthcare
Case 3 Use of Statistical Inference in Marketing
Case 4 Use of ANOVA
Case 5 Use of Simple and Multiple Regression
Case 6 Use of Time Series Analysis
OVERVIEW
This text explains the meaning of variation in the context of business, with the help of real data and real
business applications. It focuses not only on an in-depth explanation of the concepts but also demonstrates easily mastered software techniques using the common software available. The book is in line with the Current Statistical Practices and offers practical advice on when to use or not to use them.
KEY FEATURES
• Exclusive section for Indian Cases with questions!
• New and updated Mini Cases for economics and business.
• New and updated exercise data sets, web links, Big Data Sets, and Related Reading.
• Updated Excel support, including screen shots, menus, and functions.
• Introduction to the topic of Analytics and how it fits in with Business Statistics.
• Updated exercises with emphasis on compatibility with Connect®.
• Updated test bank questions matched with topics and learning objectives.
• Expanded treatment of regression, including multiplicative models, interaction effects, and two sections entirely dedicated to logistic regression.
This text explains the meaning of variation in the context of business, with the help of real data and real
business applications. It focuses not only on an in-depth explanation of the concepts but also demonstrates easily mastered software techniques using the common software available. The book is in line with the Current Statistical Practices and offers practical advice on when to use or not to use them.
KEY FEATURES
• Exclusive section for Indian Cases with questions!
• New and updated Mini Cases for economics and business.
• New and updated exercise data sets, web links, Big Data Sets, and Related Reading.
• Updated Excel support, including screen shots, menus, and functions.
• Introduction to the topic of Analytics and how it fits in with Business Statistics.
• Updated exercises with emphasis on compatibility with Connect®.
• Updated test bank questions matched with topics and learning objectives.
• Expanded treatment of regression, including multiplicative models, interaction effects, and two sections entirely dedicated to logistic regression.
