Business Statistics and Analytics

Syllabus

 Course Code: 19IMG21C4 Business Statistics and Analytics

UNIT- I

Definition, Role and Application. Measures of Central Tendencies and their Application. Measures of Dispersion: Range, Quartile Deviation, Standard Deviation, Coefficient of Variance and Mean Deviation. Skewness and Kurtosis.

UNIT- II

Correlation: Meaning and Type of Correlation - Positive Correlation, Negative Correlation, Linear and Non-linear Correlation. Scatter Diagram, Karl Pearson’s Coefficient of Correlation, Properties of Correlation Coefficient, Probable Error of Correlation Coefficient. Multiple and Partial Correlation Coefficient.

Regression: Meaning and Types- Simple and Multiple Regression, Linear and Non-linear Regression, Regression Lines, and Properties of Regression.

UNIT- III

Time Series: Introduction, Objectives and Identification of Trends – variation in Time Series, Secular Variation, Cyclical Variation, Seasonal Variation and Irregular Variation. Methods of Estimation of Trends- Moving Average and Least Square Method.

Index Number: Definition, Uses, Types, Simple Aggregate Method and Weighted Aggregate Method- Laspeyre’s, Paasche’s, Fisher’s and CPI. Construction of Index Numbers and Their Uses.

UNIT- IV

Sampling: Meaning and Basic Sampling Concept, Sampling and Non-sampling Errors.

Hypothesis Testing: Formulation and Procedure for Testing a Hypothesis. Large and Small Sample Test- z, t, F Test and ANOVA (one way). Non-parametric Test: Chi-square Test, Sign test, Kruskal–Wallis Test.

Concept of Business Analytics- Meaning, types and application of Business Analytics.