BUSINESS STATISTICS

Paper Code: 
BSR 212
Credits: 
3
Contact Hours: 
45.00
Max. Marks: 
100.00
Objective: 

Course Outcomes(COs):

Course Outcomes

Learning and teaching strategies

Assessment Strategies

On completion of this course, the students will be able to:

CO 47: Examine the methods of collecting data, classify and present in the form of tables.

CO 48: Select and apply appropriate measures of central tendency.

CO 49: Investigate the data sets to find variation amongst them

CO 50: Analyse the bivariate data sets to identify the level of association and cause and effect relationship in them

CO 51: Construct the index numbers

 

Interactive Lectures, Discussion, Tutorials, Reading assignments, White board teaching

 

 

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

 

8.00
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: 
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: 
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: 
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: 
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,&PareekBusiness StatisticsShivam Book House Pvt Ltd
  • Sancheti&Kapoor  Statistics Theory and Practice Sultan Chand and Sons New Delhi

 

 

References: 

SUGGESTED READINGS:

  • 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 StatisticsHimalya Publishing House
  •   NoreanR.S., Richard D. De Veaux, Paul & F. Velleman ,Business Statistics Pearson  Education 
  •   Levin, Richard, David S. Rubin, Rastogi, and Siddqui  Statistics for Management  ., Pearson Education
  •  Goon, Gupta &DasguptaFundamentals of Statistics  The world press private ltd

 

Academic Year: 
2022-2023
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