Statistics for Business and Economics, 2ed

Dr. Seema Sharma

ISBN: 9788126570942

508 pages

INR 739

Description

Statistical analysis is inevitable for decision making in business, economics, and other fields of scientific enquiry. Strategies for optimum utilization of resources need to be backed by appropriate analysis. Also, insightful statistical analysis is becoming increasingly important in today's world of information load. This book is an attempt to present the understanding of the statistical tools in an easy, interesting, and useful manner and to equip the readers with knowledge of what, why, and how to use the wide-ranging statistical tools. The book not only focuses on the conceptual understanding of the statistical methods, but also provides sufficient exposure through case studies along with solved examples.

Preface

About the Author

Acknowledgments

Chapter 1: Introduction to Statistics  

Introduction  

Statistics: Definition  

Types of Data  

Statistical Software for Analysis: Microsoft Excel and IBM SPSS  

Primary Data and Secondary Data 10

Applications of Statistics in Business and Economics  

Presenting Data in Business  

The Numeric Data  

Continuous Frequency Distribution  

Class Interval  

Graphic Presentation of Data  

Graphic Presentation of Categorical Data  

        Cross-Tabulation

Summary

Key Terms

Multiple-Choice Questions

Assignments

Case Study 1

Case Study 2

 

Chapter 2: Descriptive Statistical Analysis  

Introduction  

Measures of Central Tendency  

Measures of Dispersion  

Measure of Skewness  

Symmetrical Distribution  

Kurtosis  

Descriptive Statistics Using Excel  

Summary

Key Terms

Multiple-Choice Questions

Assignments

Case Study 1

 

Chapter 3: Probability Theory and Distributions  

Probability Theory  

Fundamental Concepts of Probability  

Definitions of Probability  

Laws of Probability  

Bayes Theorem  

Random Variable  

        Probability Distribution

Theoretical Probability Distribution  

Summary

Multiple-Choice Questions

Assignments

Case Study 1

 

Chapter 4: Sampling Theory and Sampling Distribution  

Introduction to Sampling Theory  

Probabilistic Sampling Techniques  

Sampling Error and Non-Sampling Error  

Central Limit Theorem  

Summary

Multiple-Choice Questions

Assignments

Case Study 1

 

Chapter 5: Hypothesis Testing—Large Sample Tests  

Introduction to Hypothesis Testing  

Null Hypothesis (H0)  

Hypothesis Testing for Large Samples  

Test for Single Proportion  

Test for Difference of Proportions  

Summary

Multiple-Choice Questions

Assignments

Case Study 1

Case Study 2

 

Chapter 6: Hypothesis Testing—Small Sample Tests  

Introduction  

t-Test  

Applications of t-Test  

Summary  

Multiple-Choice Questions  

Assignments  

Case Study 1  

 

Chapter 7: Analysis of Variance  

Introduction to Analysis of Variance  

Two-Way Factorial ANOVA Design with SPSS  

Multivariate Analysis of Variance  

Summary

Multiple-Choice Questions

Assignments

 

Chapter 8: Chi-Square Test and Its Applications  

Introduction  

Applications of the c2 Test  

Testing the Goodness of Fit  

Multiple-Choice Questions

Assignments

 

Chapter 9: Nonparametric Test  

Introduction  

Testing the Normality of Data  

Sign Test  

Wilcoxon–Mann–Whitney Test  

Wilcoxon Signed Rank Test  

The Kruskal–Wallis (H-Test)  

Summary

Multiple-Choice Questions

Assignments

 

Chapter 10: Correlation Analysis  

Introduction  

Types of Correlation  

Simple Correlation  

Partial Correlation  

Multiple Correlation  

 

Chapter 11: Regression Analysis  

Introduction to Regression Analysis  

The Simple Regression Model  

Multiple Regression Analysis  

Stepwise Regression Analysis  

Multicollinearity  

Summary

Multiple-Choice Questions

Assignments

Case Study 1

 

Chapter 12: Logistic Regression Analysis  

Introduction  

Assumptions of Binary Logistic Regression  

Multinomial Logistic Regression  

Logistic Regression vs. Discriminant Analysis  

Summary

Multiple-Choice Questions

Assignments

Case Study 1

 

Chapter 13: Business Forecasting  

Introduction  

Qualitative Forecasting Methods  

Quantitative Forecasting Methods  

Forecast Accuracy  

Smoothing Techniques  

Analysis of Seasonal Variations  

References

Summary

Multiple-Choice Questions

Assignments

 

Chapter 14: Statistical Quality Control  

Introduction  

Few Basic Concepts  

Control Charts  

Control Charts for Attribute Data  

Process Capability  

Summary

Multiple-Choice Questions

Assignments

Case Study 1

 

Chapter 15: Decision Analysis  

Introduction  

Payoff Table  

Decision Making Under Certainty

Decision Making Under Uncertainty  

Decision Making Under Risk  

Decision Making with Revised Probabilities  

Decision Trees  

Summary

Multiple-Choice Questions

Assignments

 

Chapter 16: Index Numbers  

Introduction  

Construction of Index Numbers  

Popular Indexes in India  

Summary

Multiple-Choice Questions

Assignments

 

Appendix: Statistical Tables

Index