BUSINESS STATISTICS

Paper Code: 
AAF 315
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:

CO100: Examine the methods of collecting data, classify and present in the form of tables.

CO101: Select and apply appropriate measures of central tendency.

CO102: Investigate the data sets to find variation amongst them

CO103: Analyse the bivariate data sets to identify the level of association and cause and effect relationship in them

CO104: Construct permutations, combinations and probabilities for various events

Interactive Lectures, Discussion, Tutorials, Reading assignments, Action Research

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: 

Concept of Permutation and Combinations

·         Probability- Basic Concepts, Importance of Concept of Probability, Theorem of Probability (Additional Theorem and Multiplication Theorem), Conditional Probability, Bayes’ Theorem, Mathematical Expectation 

Essential Readings: 
  • Business Statistics-  Gupta, Goyal, Sharma , Biyani, Jain, Gupta (Ajmera Book Co.)
  • Business Statistics-Garg, Sharma, Jain, Pareek (Shivam Book House Pvt Ltd)
  • Statistics Theory and Practice-Sancheti and Kapoor (Sultan Chand and Sons New Delhi)
  • Advanced Business Statistics- Prof N.P Agarwal , Dr Ankita Chaturvedi ( Ramesh Book Depot)
References: 
Academic Year: 
2022-2023
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