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Business Statistics, 1e

Business Statistics, 1e

          
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Business Statistics introduces the students to the fundamentals of and various concepts related to statistics that are helpful in making business decisions. Data are the fulcrum of the field of business statistics and this book provides the conceptual clarity for understanding data. The use of data for decision making in business has gained tremendous momentum. In order to make the learning process easy and interesting, many examples are given in the form of fictitious and real-life business anecdotes. At the end of each chapter, various exercises are given to help the students become adept at using data for decision making.

Numerous examples illustrate the use of software tools like MS Excel, SPSS and RStudio with detailed steps involved. Real-time cases of Indian companies with actual data sourced from their websites have been used for better understanding of the concepts. The aim of this book is to make the learning process as interesting and simple as possible.

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About the Book

The use of data for decision-making in business has gained tremendous momentum. Business Statistics introduces the students to the fundamentals of statistics for making business decisions. This book discusses the various concepts related to statistics that are helpful in making business decisions. Data are the fulcrum of the field of business statistics and this book provides the conceptual clarity for understanding data. In order to make the learning process easy and interesting, many examples are given in the form of business anecdotes, though fictitious in nature. Also, real-life business scenarios have been included in the examples. The examples help understand the concepts well. At the end of each chapter, a comprehensive list of exercises are given and by solving those exercises, the students can become adept at using data for decision-making.

Many examples are also solved using MS Excel and SPSS. Each example that has been solved using these software packages has a detailed illustration of the steps involved in using the software. Solving these examples will help gain expertise in using MS Excel and SPSS for statistical analysis. Cases from Indian companies with actual data sourced from the websites of those companies have been used to make the student realise the importance and relevance of various concepts. The motivation for writing this book is to make the learning process as interesting and simple as possible.

Reading this book will give the student an interesting and enriching experience. The student would enter into the fascinating world of data and decision-making using data.

About the Author

J. Joseph Francis J. Joseph Francis is an Assistant Professor in the area of Operations and Decision Sciences at the Karunya University Business School of Karunya University, Coimbatore. He has a mix of both industry and teaching experience. He was also an entrepreneur. He has experience in the field of project management and channel management. However, his interest to disseminate knowledge and interact with students led him to the academic field. He completed his Bachelors in Engineering from Government College of Technology, Coimbatore and MBA from the School of Management of Pondicherry University. He was awarded Ph.D. for his thesis on service quality and productivity by Anna University, Chennai.



Table of Contents:
Chapter 1 Introduction to Statistics Chapter 2 Understanding, Organising and Presenting Data Chapter 3 Measure of Central Tendency Chapter 4 Measures of Dispersion Chapter 5 Skewness, Moments and Kurtosis Chapter 6 Basic Concepts of Probability Chapter 7 Discrete Probability Distribution Chapter 8 Continuous Probability Distribution Chapter 9 Sampling and Sampling Distribution Chapter 10 Estimation and Confidence Intervals Chapter 11 Hypothesis Testing Chapter 12 Statistical Inference for Single Population using Hypothesis Testing Chapter 13 Statistical Inference for Two Populations using Hypothesis Testing Chapter 14 Statistical Inference about Variance of Two Populations using F-Distribution Chapter 15 Analysis of Variance and Design of Experiments Chapter 16 Chi-Square Tests and Other Non-Parametric Tests Chapter 17 Correlation and Simple Regression Chapter 18 Multiple Regression and Model Building Chapter 19 Index Numbers Chapter 20 Forecasting and Time Series Chapter 21 Statistical Methods for Quality Management Chapter 22 Statistical Decision Theory References Appendix Glossary Index


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Product Details
  • ISBN-13: 9788131527931
  • Publisher: Cengage Learning India Pvt.Ltd.
  • Publisher Imprint: CL India
  • Edition: 01
  • Language: English
  • Width: 203 mm
  • ISBN-10: 813152793X
  • Publisher Date: July' 2015
  • Binding: Paperback
  • Height: 254 mm
  • No of Pages: 886

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