The objective of this course is to familiarize students with the basic statistical tools used for decision-making
Introduction- Definition of Statistics, Importance and Scope of Statistics, Types and Source of Data, Collection of Data, Limitation of Statistics
Classification and Tabulation of Data: Meaning and Characteristics, Frequency Distribution, Simple and Manifold Tabulation
Measure of Central Tendency: Arithmetic Mean (Simple and Weighted), Median (Including Quartiles, Quintiles, Octiles, Deciles, Percentile) Mode, Geometric and Harmonic Mean-Simple and Weighted |
Measures of Dispersion: Absolute and Relative Measures: Range, Quartile Deviation, Mean Deviation, Standard Deviation and their Co-efficient.
Skewness: Absolute Measures of Skewness,
Relative Measures of Skewness –Karl Pearson’s Coefficient of Skewness, Bowley’s Coefficient of Skewness
Correlation: Meaning and Significance, Scatter Diagram Correlation Graph, Karl Pearson’s Coefficient between two variables.
Coefficient of Correlation by Spearman’s Rank Difference Method and Concurrent Deviation Method
Regression Analysis-Meaning and Significance, Difference between Correlation and Regression, Regression lines, Regression equations, coefficient of Regression, Standard error of the estimate
Index Numbers:-Introduction, Uses of Index Numbers, Classification of Index Numbers, Problems in Construction of Index Numbers, Methods of Constructing Index Numbers, Test of Adequacy of Index Number Formulae, Base Shifting, Splicing and Deflating of Index Numbers