Business Statistics

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

Measures 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