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BUSINESS STATISTICS [1]

Paper Code: 
COM 202
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 Statistics   Ajmera 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: 
Academic Year: 
2022-2023 [6]

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Source URL: https://accountingtaxation.iisuniv.ac.in/courses/subjects/business-statistics-23

Links:
[1] https://accountingtaxation.iisuniv.ac.in/courses/subjects/business-statistics-23
[2] http://www.ddegjust.ac.in/studymaterial/mcom/mc-106.pdf
[3] http://gurukpo.com/Content/BBA/BBA_lll_sem_Statistical_Methods.pdf
[4] http://103.5.132.213:8080/jspui/bitstream/123456789/1103/1/Business%20Statistics%20(%20PDFDrive.com%20)%20(2).pdf
[5] https://faculty.ksu.edu.sa/sites/default/files/business-statistics-for-contemporary-decision-making-by-ken-black_0.pdf
[6] https://accountingtaxation.iisuniv.ac.in/academic-year/2022-2023