Course Objectives: This course will enable the students to The objective of this course is to familiarize students with the basic statistical tools used for decision-making.
Course Outcomes (COs):
Course |
Learning outcome (at course level) |
Learning and teaching strategies |
Assessment Strategies |
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Paper Code |
Paper Title |
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COM 202 |
Business Statistics |
CO 46 Students will be able to acquire theoretical knowledge regarding basics of statistics. CO 47 Student will be able to independently calculate basic statistical parameters (mean, mode & median). CO 48 Student understands to calculate various types of variation. CO 49 Provide an understanding on bivariate analysis. CO 50 Understand the basic structure of index number and calculations involving various methods. |
Approach in teaching: Interactive Lectures, Discussion, Tutorials, Reading assignments, White board teaching
Learning activities for the students: Self learning assignments, Effective questions, Giving tasks, Software workshop
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Class test, Semester end examinations, Quiz, Solving problems in tutorials, Assignments. |
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
1. Statistical Methods:-S.P Gupta, Archana Gupta(Sultan Chand& Sons, New Delhi)
2. Statistical Methods-K.N Nagar
3. Business Statistics-Yadav, Jain, Mittal (Malik and Company Jaipur)