CONTENTS
1. Introduction to Statistics
1. Introduction
2. Importance of Statistics in Modern Business Environment
3. Definitions of Statistics
4. Importance and Scope of Statistics
4.1 Scope of Statistics
4.2 Characteristics of Statistics
5. Functions of Statistics
6. Limitations of Statistics
7. Need of Data
8. Types of Data
9. Source of Data
10. Data Classification
10.1 Frequency Distribution
11. Tabulation
12. Graphical Representation of Frequency Distribution
12.1 Histogram
12.2 Frequency Polygon
12.3 Frequency Curve
12.4 Ogive or Cumulative Frequency Curve
13. Diagrams
13.1 Simple Bar Diagram
13.2 Sub - Divided Bar Diagram
13.3 Pie Diagram
2. Measures of Central Tendency and Dispersion
1. Introduction
2. Measure of Central Tendency
2.1 Objectives and Requisites of a Good Average
3. Statistical Averages
3.1 Arithmetic Mean
3.2 Median
3.3 Mode
3.4 Geometric Mean
3.5 Harmonic Mean
3.6 Appropriate Choice of an Average
3.7 Empirical Relationship among Mean, Median and Mode
4. Positional Averages
4.1 Quartiles
5. Measures of Variability
5.1 Range
5.2 Quartile Deviation
5.3 Mean Deviation
5.4 Variance and Standard Deviation
6. Standard Deviation (S.D.)
6.1 Properties of Variance and Standard Deviation
6.2 Coefficient of Variation
3. Sampling, Sampling Distributions and Testing
1. Population and Sample
1.1 Principles of Sample Survey
2. Concepts and Definitions Related to Testing of Hypothesis
2.1 Parameter and Statistic
2.2 Sampling Distribution of a Statistic
2.3 Standard Error (S.E.) of a Statistic
2.4 Statistical Hypothesis
2.5 Tests of Significance
2.6 Null Hypothesis and Alternative Hypothesis
2.7 Errors of Sampling (Type I and II errors)
2.8 Critical Region
2.9 Level of Significance (L.O.S.)
2.10 One Sided and Two Sided Tests
2.11 Procedure for Testing of Hypothesis
3. Case Study on Two tailed and One–tailed tests
3.1 Test of Significance for Single Population Mean
3.2 Test of Significance for Difference of Means
3.3 Tests for Single Proportion
3.4 Test of Significance for Difference of Proportions
4. Small Sample Tests
4.1 Tests Based on t-Distribution
5. Chi-Square Distribution
4. Simple Correlation and Regression
1. Introduction
2. Bivariate Data
3. Correlation
3.1 Types of Correlation
4. Measures of Correlation
4.1 Scatter Diagram Method
4.2 Karl Pearson’s Coefficient Of Correlation (r)
4.3 Factor Influencing the Size of Correlation Coefficient
4.4 Probable Error
4.5 Coefficient of Determination (r2)
5. Spearman's Rank Correlation Coefficient (Formula with and without ties)
6. Multiple Correlation Coefficient
7. Partial Correlation Coefficient
8. Regression
8.1 Linear Regression
8.2 Fitting of Straight Line Using Least Square Method
8.3 Properties of Regression Coefficients
9. Standard Error of Estimation
10. Multiple Regression Analysis
10.1 Notation
10.2 Yule’s Notation
10.3 Fitting of Multiple Regression Plane
10.4 Partial Regression Coefficient, Interpretation
5. Forecasting and Time Series Analysis
1. Introduction
1.1 Types of Forecast
1.2 Timing of Forecast
1.3 Forecasting Methods
2. Time Series Analysis
2.1 Time Series Analysis
2.2 Utility of the Time Series
2.3 Components of Time Series
2.4 Methods of Measuring Trend
2.5 Mathematical Models for Time Series
2.6 Editing of Time Series
2.7 Measurement of Seasonal Variations
2.8 Forecasting Methods using time Series
6. Index Numbers
1. Introduction
2. Definition
3. Classification of Index Numbers
4. Base Year and Current Year
5. Chief Characteristics of Index Numbers
6. Main Steps in Construction of Index Numbers
7. Methods of Computation of Index Numbers
8. Construction of Index Numbers
8.1 Unweighted Index Numbers
8.2 Weighted Index Numbers
9. Tests for Adequacy of Index Number Formula
10. Cost of Living Index Numbers or Consumer Price Index
10.1 Utility of Consumer Price Index Numbers
10.2 Assumptions of Cost of Living Index
10.3 Steps in Construction of Cost of Living Index Numbers
10.4 Methods of Constructing Consumer Price Index
10.5 Limitations of Index Numbers
10.6 Utility and Importance of Index Numbers