Business Mathematics and Statistics (BFSMJ-201)
Program: BBA-BFSI
Category: Professional Core Course
Semester: 2
Credits: 4
L-T-P: 4- 0- 0
Description
Studying Business Mathematics and Statistics enhances analytical, problem-solving, and decision-making skills. It helps students interpret data, manage risks, optimize resources, and understand financial models, preparing them for careers in business, finance, and economics. These skills are essential for data-driven decisions, improving job prospects and graduate study opportunities.
Instructor

Ms. Neha Malhotra

Assistant Professor
Department Of Applied Sciences
Course Outcomes
  • Examine the concept of business math’s and statistics and its importance in quick decision making.
  • Apply the concept of Mean, Median and Mode which are measures of central tendency.
  • Articulate the measures of dispersion and its applicability in research.
  • Explore correlation and regression and its applicability in decision making
  • Compute time series and Index numbers and understand their uses.
Evaluation Scheme
MST 10
MST_1 10
Assignment 10
Attendance 10
Total Internal 40
Total External 60
Overall Total 100
Course Materials

Unit 1

Matrices
Adjoint of a Matrix
Updated on: 2026-05-06
Video
Algebra of a matrices
Updated on: 2026-05-06
Video
Application of Matrix
Updated on: 2026-05-06
Video
Calculation of values of determinants up to third order
Updated on: 2026-05-06
Video
Inverse of a Matrix
Updated on: 2026-05-06
Video
Inverse of a Matrix (cont)
Updated on: 2026-05-06
Video
Matrices and its types
Updated on: 2026-05-06
Video
Minors and Cofactors of matrices
Updated on: 2026-05-06
Video
Multiplication of Matrices
Updated on: 2026-05-06
Video
Transpose of a matrix
Updated on: 2026-05-06
Video
Tutorial 1
Updated on: 2026-05-06
Video

Unit 2

Basic Mathematics of Finance
Compound Interest
Updated on: 2026-05-06
Video
Compound interest Compounded Continuously
Updated on: 2026-05-06
Video
Compound interest when interest is half yearly and quarterly
Updated on: 2026-05-06
Video
Compounding and discounting of sum using continuous rate of interest
Updated on: 2026-05-06
Video
Compounding and discounting of sum using effective rate of interest
Updated on: 2026-05-06
Video
Compounding and discounting of sum using nominal rate of interest
Updated on: 2026-05-06
Video
Continuous Rate of interest
Updated on: 2026-05-06
Video
Effective Rate of interest
Updated on: 2026-05-06
Video
Nominal Rate of interest
Updated on: 2026-05-06
Video
Present value and future value
Updated on: 2026-05-06
Video
Simple Interest
Updated on: 2026-05-06
Video

Unit 3

Uni-Variate Analysis
Absolute and Relative variation
Updated on: 2026-05-06
Notes
Arithematic mean, Geometric mean, Harmonic mean
Updated on: 2026-05-06
Notes
Arithmetic mean,
Updated on: 2026-05-06
Video
deciles, and percentiles
Updated on: 2026-05-06
Notes
Geometric mean
Updated on: 2026-05-06
Notes
Harmonic Mean
Updated on: 2026-05-06
Notes
Introduction to measures of Central tendency
Updated on: 2026-05-06
Video
Mean Deviation
Updated on: 2026-05-06
Notes
Median of Discrete and Continuous Series
Updated on: 2026-05-06
Notes
Mode of Discrete and Continuous series
Updated on: 2026-05-06
Notes
Quartike Deviation
Updated on: 2026-05-06
Notes
Quartiles
Updated on: 2026-05-06
Notes
Standard Deviation
Updated on: 2026-05-06
Notes
Tutorial Geometric Mean
Updated on: 2026-05-06
Notes
Tutorial Harmonic Mean
Updated on: 2026-05-06
Notes

Unit 4

Bi Variate Analysis
Correlation and Regression Tutorial
Updated on: 2026-05-06
Video
Karl Pearson's co-efficient
Updated on: 2026-05-06
Video
Method to find (Cont)
Updated on: 2026-05-06
Video
Method to find Regression
Updated on: 2026-05-06
Video
Properties of regression coefficient
Updated on: 2026-05-06
Video
Regression lines by least square method
Updated on: 2026-05-06
Video
Regression lines by least square method (Cont)
Updated on: 2026-05-06
Video
Relationship between Correlation and Regression Coefficients
Updated on: 2026-05-06
Video
Simple Linear Correlation Analysis
Updated on: 2026-05-06
Video
Simple Linear Regression Analysis
Updated on: 2026-05-06
Video
Spearman’s rank correlation when ranks are given
Updated on: 2026-05-06
Video
Spearman’s rank correlation when ranks are not given
Updated on: 2026-05-06
Video
Spearman’s rank correlation when ranks are repeated
Updated on: 2026-05-06
Video
Types and properties of correlation
Updated on: 2026-05-06
Video

Unit 5

Time-based Data: Index Numbers and Time-Series Analysis
Aggregative and average of relatives – simple and weighted
Updated on: 2026-05-06
Notes
Components of time series
Updated on: 2026-05-06
Notes
Construction of consumer price indices
Updated on: 2026-05-06
Notes
Construction of index numbers
Updated on: 2026-05-06
Notes
Fitting of linear trend line using principle of least square
Updated on: 2026-05-06
Notes
Index numbers – meaning and uses
Updated on: 2026-05-06
Notes
Moving average method of time series
Updated on: 2026-05-06
Notes
Tests of adequacy of index numbers
Updated on: 2026-05-06
Notes
Trend Analysis
Updated on: 2026-05-06
Notes