TY  - BOOK
AU  - Doane, David P.
AU  - Seward, Lori E.
AU  - Chowdhury, Shovan
TI  - Applied statistics in business and economics
SN  - 9789390113040
U1  - 519.5 
PY  - 2020///
CY  - Chennai
PB  - McGraw Hill Education (India) Pvt. Ltd.
KW  - Commercial statistics
KW  - Economics--Statistical methods
KW  - Management--Statistical methods
KW  - Econometrics
N1  - Table of content

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; 

N2  - Description

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

ER  -