Business Statistics

Paper Code: 
COM 202
Credits: 
03
Contact Hours: 
45.00
Max. Marks: 
100.00
Objective: 

Course Objectives:

The objective of this course is to familiarize students with the basic   statistical tools used for decision-making.

 

Course Outcome(COs):

Course

Learning Outcome

(at course level)

Learning and teaching strategies

Assessment Strategies

Paper Code

Paper Title

COM 202

Business Statistics

CO 41: Examine the methods of collecting data, classify and present in the form of tables.

CO 42: Select and apply appropriate measures of central tendency.

CO 43: Investigate the data sets to find variation amongst them

CO 44: Analyse the bivariate data sets to identify the level of association and cause and effect relationship in them

CO 45: Construct the index numbers

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

Class test, Semester end examinations, Quiz, Solving problems in tutorials, Assignments.

 

 

8.00
Unit I: 
UNIT I

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

12.00
Unit II: 
UNIT II

Measure of Central Tendency
• Arithmetic Mean (Simple and Weighted),
• Median (Including Quartiles, Quintiles, Octiles, Deciles, Percentile)
• Mode,
• Geometric and Harmonic Mean-Simple and Weighted

8.00
Unit III: 
UNIT III

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

11.00
Unit IV: 
UNIT IV

Correlation
• Meaning and Significance,
• Scatter Diagram Correlation Graph,
• Karl Pearson’s Coefficient between two variables.
• Coefficient of Correlation by Spearman’s Rank Difference Method
• 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

6.00
Unit V: 
UNIT V

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

Essential Readings: 

• Business Statistics-Garg, Sharma, Jain, Pareek (Shivam Book House Pvt Ltd)
• Statistics Theory and Practice-Sancheti and Kapoor (Sultan Chand and Sons New Delhi)
• Business Statistics: S.C Gupta (Himalya Publishing House)
• Statistical Methods:-S.P Gupta, Archana Gupta(Sultan Chand& Sons, New Delhi)
• Stattistical Methods-K.N Nagar
• Business Statistics-Yadav, Jain, Mittal (Malik and Company Jaipur)
• Fundamentals of Statistics: S. C Gupta (Himalya Publishing House)

Academic Year: 
2021-2022
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