Statistics

Paper Code: 
24EBSG215
Credits: 
03
Contact Hours: 
45.00
Max. Marks: 
100.00
Objective: 

This course will enable the students to Understand the fundamental concepts and principles of statistical analysis and their application in business decision-making.

Course

Learning outcome

(at course level)

Learning and teaching strategies

Assessment Strategies

Course Code

Course title

24EBSG215

Statistics

(Theory)

CO61: Examine the methods of collecting data, classify and present in the form of tables

CO62: Select and apply appropriate measures of central tendency

CO63: Interpret the data sets to find dispersion, and skewness amongst them

CO64: Analyse the data sets to identify the level of association and cause and effect relationship in them

CO65: Construct the index numbers

CO66: Contribute effectively in course-specific interaction

Approach in

teaching: Interactive Lectures, Discussions, Tutorials, Problem solving sessions, Presentations

 

 

Learning activities for the students: Self-learning assignments, Case Study Analysis, Presentations, Group Discussions

Continuous Assessment Test, Semester End Examinations, Quiz, Solving Numerical Problems, Assignments, Class Presentations, Individual and group projects.

 

9.00
Unit I: 
Introduction and Classification and Tabulation of Data:
  • 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
9.00
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
9.00
Unit III: 
Measures of Variation:
  • 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
9.00
Unit IV: 
Simple Correlation & Regression Analysis:
  • 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
9.00
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: 
  • Gupta, Goyal, Sharma ,Biyani, Jain,& Gupta  Business StatisticsAjmera Book Co.
  • Garg, Sharma, Jain, & Pareek Business Statistics Shivam Book House Pvt Ltd
  • Sancheti & Kapoor  Statistics Theory and Practice Sultan Chand and Sons New Delhi
  • Goon, Gupta & Dasgupta Fundamentals of Statistics  The world press private ltd

 

References: 
  • Gupta, S.P, & Gupta, A.  ,Statistical Methods  Sultan Chand& Sons, New Delhi
  • Yadav, Jain, &Mittal ,Business Statistics Malik and Company Jaipur
  • Gupta , S. C Fundamentals of Statistics Himalya Publishing House
  • Norean R.S., Richard D. DEVeaux, Paul & F. Velleman ,Business Statistics Pearson  Education 
  • Levin, Richard, David S. Rubin, Rastogi, and Siddqui  Statistics for Management, Pearson Education

e-Resources:

Reference Journals:

  • IUP Journal of Accounting Research
  • The Indian Journal of Commerce
  • Metamorphosis A Journal of Management Research
  • Nirma University Journal of Business & Management Studies

 

 

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.

 

 

Academic Year: 
2024-2025
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