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.

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.

Note- The candidate shall be permitted to use battery operated pocket calculator that should not have more than 12 digits, 6 functions and 2 memories and should be noiseless and cordless