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# Statistics for Business and Economics, 2ed

ISBN: 9788126570942

508 pages

eBook also available for institutional users

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

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

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

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