We have great pleasure in presenting First edition “Applied Statistics for Business Decisions” written for students of PG courses. The related matters are written in a simple and easily understandable.
This volume is an attempt to pro vide the students with thorough understanding of Applied Statistics for Business Decisions. We have presented the subject matter in a systematic manner with liberal use of charts and diagrams where ever necessary so as to make it interesting and sustain students’ interest.
Contents –
Module – 1 Descriptive Statistics
Introduction
Meaning of Statistics
Definitions of Statistics
Importance of Statistics
Types of Statistics
Measures of Central Tendency
Arithmetic Mean
Geometric Mean
Harmonic Mean
Median
Quartiles
Deciles
Percentiles
Mode
Measures of Dispersion
Range
Quartile Deviation
Mean Deviation
Standard Deviation
Variance
Coefficient of Variance
Skewness
Moments
Kurtosis
Frequency Distributions
Charts and Graphs
Software Platforms
Review Questions
Practical Problems with Answer
Module – 2 Correlation and Regression
Introduction
Correlation
Significance of Correlation
Types of Correlation
Methods of Correlation
Scatter Diagram
Karl Pearson Correlation
Spearman’s Rank Correlation
Regression
Significance of Regression
Linear Regression Analysis
Types of Regression Models
Determining Regression Coefficients
Estimating Regression using Regression Line
Method of Least Square
Standard Error of Estimate
Time Series Analysis
Components of a Time Series
Freehand and Smoothening Method
Software Platforms
Review Questions
Practical Problems with Answer
Module – 3 Probability and Probability Distribution
Introduction
Concept of Probability
Definitions of Probability
Probability Theory
Approaches to Probability
Probability Axioms
Probability under Conditions of Statistical Independence
Probability under Conditions of Dependence
Baye’s Theorem
Concept of Probability Distribution
Theoretical Probability Distribution
Binomial Distribution
Poisson Distribution
Normal Distribution
Software Platforms
Review Questions
Practical Problems with Answer
Module – 4 Hypothesis Testing – Parametric Tests
Introduction
Definitions of Hypothesis Testing
Types of Hypothesis Testing
Procedure for Testing
Errors in Hypotheses Testing
Parametric Tests
Z-test
t-test
F-test
Analysis of Variance
Hypothesis Tests for Differences between Means:
Large Sample Size
Small Sample Sizes
Test for Differences between Proportions:
Large Sample Sizes
Analysis of Variance
Inferences about a Population Variance
Inferences about Two Population Variances
Software Platforms
Review Questions
Module – 5 Hypothesis Testing – Non-Parametric Tests
Introduction
Non-parametric Tests
Chi-Square as a Test of Independence
Chi-Square as a Test of Goodness of Fit
The Sign Test for Paired Data
Rank Sum Tests
The Mann-Whitney U Test
The Kruskal-Wallis Test
The One-Sample Runs Test
Rank Correlation
The Kolmogorov Smirnov Test
Software Platforms
Review Questions
Practical Problems with Answer