BUSINESS STATISTICS

Paper Code: 
BSG 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: 
 
• 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 
 
e RESOURCES:
• https://faculty.ksu.edu.sa/sites/default/files/business statistics for contemporary decision making by ken black_0.pdf
 
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: 
2022-2023
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