Practical-I

Paper Code: 
STT 125
Credits: 
4
Contact Hours: 
120.00
Max. Marks: 
100.00
Objective: 

This paper is designed so that the student get familiar with statistical software for solving the problems based on various mathematical operations and also how to deal and analyse the probability of different data.

 

Students will able to

Course

Learning outcomes (at course level

Learning and teaching strategies

Assessment Strategies

 

Paper Code

Paper Title

STT-125

Practical-I

CO 20: Able to solve linear systems of equation. and deal with numerical differentiation and integration.

 

CO 21: Ability to apply numerical methods for differential equation.

 

CO 22: Evaluate the determinant and inverse of a matrix and also find the solution of matrix equation.

 

CO 23: Compute various measures of central tendencies, dispersion, moments, Skewness, kurtosis and to interpret them.

 

CO 24: Able to find the probabilities of various events.

 

CO 25: Learn the concept of conditional probability and independence of events.

Approach in teaching:

Interactive Lectures,

Group Discussion,

Classroom Assignment

Problem Solving Sessions

 

Learning activities for the students:

Assignments

Seminar

Presentation

Subject based  Activities

 

Software based Assignments

Individual Presentation

Class Test

 

  • Determinants - by row and column operations, by partitioning.
  • Inverses of a matrix - by row and column operations, by partitioning
  • Rank of a matrix
  • Solutions of matrix equations
  • Characteristic roots and vectors of a matrix
  • Interpolation using Lagrange's formula, Newton-Gregory formula
  • Interpolation using Newton's divided difference formula
  • Numerical differentiation using Newton's formula
  • Numerical differentiation using Lagrange's formula
  • Numerical integration using trapezoidal formula
  • Numerical integration using Simpson's one-third formula
  • Numerical integration using Simpson's three-eighth formula
  • Numerical integration using Runge Kutta Method
  • Coefficient of variation.
  • Calculation of raw moments, central moments, β1, β2 and γ1, γ2 coefficients, Sheppard's correction to moments.
  • Probability, Conditional Probability and Baye’s theorem

 

Note: Practical exercises will be conducted on computer by using MS-Excel/ Matlab/ SPSS/R.

 

Academic Year: 
2021-2022
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