STATISTICS

Paper Code: 
EFSG 216
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:

CO56: Examine the methods of collecting data, classify and present in the form of tables.

CO57: Select and apply appropriate measures of central tendency.

CO58: Investigate the data sets to find variation amongst them

CO59: Analyse the bivariate data sets to identify the level of association and cause and effect relationship in them

CO60: 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 and Regression Analysis

• 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: 

SUGGESTED TEXT BOOKS:
• 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

References: 

SUGGESTED REFERENCE BOOKS:
• 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. De Veaux, Paul & F. Velleman ,Business Statistics Pearson Education
• Levin, Richard, David S. Rubin, Rastogi, and Siddqui Statistics for Management ., Pearson Education
• Goon, Gupta & Dasgupta Fundamentals of Statistics The world press private ltd
e RESOURCES:
• http://www.ddegjust.ac.in/studymaterial/mcom/mc 106.pdf
• http://gurukpo.com/Content/BBA/BBA_lll_sem_Statistical_Methods.pdf
• http://103.5.132.213:8080/jspui/bitstream/123456789/1103/1/Business%20St...(%20PDFDrive.com%20)%20(2).pdf
• https://faculty.ksu.edu.sa/sites/default/files/business statistics for contemporary decision making by ken black_0.pdf
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: 
2023-2024
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