Statistics

Paper Code: 
24BCP114
Credits: 
03
Contact Hours: 
45.00
Max. Marks: 
100.00
Objective: 

This course will enable the students to develop an understanding of the statistical tools and their application in Business, Finance and Economics.

 

Course Outcomes: 

Course

Learning outcome

(at course level)

Learning and teaching strategies

Assessment Strategies

Course Code

Course

title

24BCP114

Statistics

(Theory)

CO 1Construct statistical series, tabular and graphical representation of data.

CO 2Calculate measures of central tendency, dispersion and asymmetry.

CO 3Apply discrete and continuous probability distributions to various business problems.

CO 4Solve problems of theoretical distributions

CO 5Predict values of strategic variables using regression and correlation analysis. Construct index numbers and quantitative issues in business.

CO 6Contribute effectively in course specific interaction.

Approach in teaching:

Interactive Lectures, Discussions, Tutorials, Problem solving sessions, Presentations

 

Learning activities for the students:
Self-learning assignments, Case Study Analysis, Presentations, Group Discussions

 

Continuous Assessment Test, Semester End Examinations, Quiz, Solving Numerical Problems, Assignments, Class Presentations, Individual and group projects.

 

9.00
Unit I: 
Statistical Representation of Data and Sampling
  • Statistical Representation of Data: Diagrammatic representation of data, Frequency distribution, Graphical representation of Frequency Distribution –Histogram, Frequency Polygon, Ogive, Pie-chart.
  • Sampling: Basic principles of sampling theory, comparison between sample survey and complete enumeration, some important terms associated sampling types of sampling, sampling and non-sampling errors.

 

9.00
Unit II: 
Measures of Central tendency and Dispersion
  • Measures of Central tendency and Dispersion: Measures of Central Tendency and Dispersion: Mean Median, Mode, Mean Deviation, Quartiles and Quartile Deviation, Standard Deviation, Co-efficient of Variation, Coefficient of Quartile Deviation.

 

9.00
Unit III: 
Probablity
  • Probability: Independent and dependent events; mutually exclusive events. Total and Compound Probability and Bayes’ theorem

 

9.00
Unit IV: 
Theoretical Distributions
  • Theoretical Distributions: Random variables, Discrete and Continuous Random variables, Expectation of a discrete random variable, Theoretical Distributions, Binomial Distribution, Poisson distribution – basic application and Normal Distribution – basic applications.

 

9.00
Unit V: 
Correlation , Regression and Index Numbers
  • Correlation and Regression: Scatter diagram, Karl Pearson’s Coefficient of Correlation Rank Correlation, Regression lines, Regression equations, Regression coefficients.
  • Index Numbers: Uses of Index Numbers, Problems involved in construction of Index Numbers, Methods of construction of Index Numbers, BSE SENSEX and NSE.

 

Essential Readings: 
  • Study Material Published by Institute of Chartered Accountants of India

 

References: 

SUGGESTED READINGS:

  • Sancheti and Kapoor Statistics Theory and Practice, Sultan Chand and Sons, New Delhi
  • Kapoor & Sancheti. Statistics Theory and Practice. Sultan Chand and Sons, New Delhi
  • Agarwal, NP & Chaturvedi A, Advanced Business Statistucs, Ramesh Book Depot

 

E-RESOURCES:

 

JOURNALS:

  • The Chartered Accountant Journal
  • ICAI Student Journal

 

Academic Year: 
2024-2025
  • Printer-friendly version
  • PDF version