4LTR Press, a Cengage Learning product, is a widely acclaimed concept of learning with a simple approach—creating an innovative teaching and learning solution built around today's learners and teachers. The idea behind bringing out this series of books is to introduce students and teachers in India to an innovative concept in management studies. Since the launch, 4LTR Press has helped more than 1,800,000 college students at over 2,000 schools succeed worldwide.
BSTAT, a 4LTR Press product, takes into account and integrates the inputs from discipline-specific focus groups, conversations, and surveys and presents the content in a visually engaging page layout, keeping intact the high-quality content instructors need. It adopts a persuasive visual medium and offers a balanced approach, demonstrating the Business Statistics practices to take business decisions. The book aims at enjoyable reading and easy attention using comprehensive pedagogical features.
- All relevant topics are explained in systematic and methodical manner
- Comprehensive coverage of key topics
- Key issues of Business Statistics are strengthened by real-life case studies drawn from global and Indian companies
- Visually appealing presentation
- Review pages at the end of each chapter
- Rich pedagogical features such as
- Learning objectives
- Key concepts
- Chapter-end exercises
1. What is Statistics?
2. Graphical and Tabular Descriptive Techniques
3. Numerical Descriptive Techniques
4. Data Collection and Sampling
5. Probability
6. Random Variables and Discreet Probability Distributions
7. Continuous Probability Distributions
8. Sampling Distributions
9. Introduction to Estimation
10. Introduction to Hypothesis Testing
11. Inference about a Population
12. Inference about Comparing Two Populations - I
13. Inference about Comparing Two Populations – II
14. Analysis of Variance
15. Chi-Squared Tests
16. Simple Linear Regression and Correlation
17. Multiple Regression
18. Forecasting and Time Series
19. Review of Statistical Inference
Appendix A: Data file sample statistics
Appendix B: Tables
Appendix C: Answers to selected even numbered exercises
Appendix D: A guide to statistical techniques
Appendix E: Index of computer output and instructions
Excel
Minitab
Gerald Keller
Dr. Gerald Keller is Emeritus Professor of Business at Wilfrid Laurier University, where he taught statistics, management science, and operations management from 1974 to 2011. He also taught at the University of Toronto, the University of Miami, McMaster University, the University of Windsor, and the Beijing Institute of Science and Technology. In addition to consulting with banks on credit scoring and credit card fraud, Dr. Keller has conducted market surveys for the Canadian government on energy conservation. His books include BSTAT, 2e, APPLIED STATISTICS WITH MICROSOFT EXCEL, ESSENTIALS OF BUSINESS STATISTICS (co-authored), AUSTRALIAN BUSINESS STATISTICS (co-authored), and STATISTICS LABORATORY MANUAL EXPERIMENTS USING MINITAB. Dr. Keller also has been published in OMEGA, IIE TRANSACTIONS, DECISION SCIENCES, INFOR, ECONOMICS LETTERS, and ARCHIVES OF SURGERY.
Hitesh Arora
Hitesh Arora is Professor in Quantitative Techniques and Operations Management at FORE School of Management, New Delhi. A graduate in Mathematics and a post graduate in Operational Research from University of Delhi, he has also earned his doctorate in Mathematical Programming from Department of Operational Research, University of Delhi. Prof. Arora started his teaching career at the University of Delhi. He has also worked as an Actuarial Consultant with a UK-based MNC, where his work involved Data Modeling and Reserving for Personal and Commercial Lines of various UK-based insurance companies. He has more than 16 years of experience in academics and industry. Dr Arora has extensively worked in the area of Mathematical Programming. His current research interests are Measurement of Productivity, Service Quality, and Information Technology in Indian banking sector. Prof. Arora has conducted Management Development Programmes (MDPs) in Decision-Making Techniques for Managers. He has to his credit numerous research papers in several national and international journals.
