We have great pleasure in presenting First edition “Business Statistics” written for students of UG courses. The related matters are written in a simple and easily understandable.
This volume is an attempt to provide the students with thorough understanding of Business Statistics. 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 Introduction to Statistics
Introduction
Central Tendency
Importance of Central Tendency
Types of Central Tendency
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 Variation
Skewness
Moments
Kurtosis
Review Questions
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
Lines of Regression
Standard Error of Estimate
Review Questions
Module – 3 Probability Distribution
Introduction
Concept of Probability
Counting Rules for Determining
Number of Outcomes
Permutation
Combination
Rules of Probability
Addition of Probability
Multiplication of Probability
Baye’s Theorem
Probability Distribution
Theoretical Probability Distributions
Binomial Distributions
Poisson Distributions
Normal Distributions
Review Questions
Module – 4 Time Series Analysis
Introduction
Time Series
Objectives of Time Series
Variations in Time Series
Measurement of Trends
Graphic Method
Moving Average Method
Semi-Average Method
Least Square Method
Measurement of Seasonal Variations
Method of Simple Averages
Ratio to Trend Method
Ratio to Moving Average Method
Link Relative Method
Review Questions
Module – 5 Hypotheses Testing
Introduction
Hypotheses Testing
Types of Hypotheses Testing
Procedure for Hypotheses Testing
Errors in Hypotheses Testing
Parametric Tests
Non-Parametric Tests
t-test
z-test
f-test
Chi-square Test
u-test
K-W Test
Analysis of Variance
Review Questions
Module – 6 Computer Lab for Statistics
Introduction
Overview of SPSS
Creating, Saving and Editing Files
Importing files from other formats
Transforming Variables
Compute Multiple Responses
Organization and Presentation of Information
Measures of Central Tendency and Variability
Frequency Distributions
Charts and Graphs
Hypotheses Testing using Means and Cross-tabulation
Chi-square, Correlation, Regression Analysis
Linear, Logistic
One Way ANOVA
ANOVA in Regression
Review Questions
