Practical

Paper Code: 
STT-325
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 multivariate data and various mathematical problems.

 

Course

Learning outcomes (at course level

Learning and teaching strategies

Assessment Strategies

 

Paper Code

Paper Title

STT325

 

Practical

(Practical)

 

The students will be able to –

 

CO75: Able to test partial and multiple correlation coefficients.

CO76: Understand multinomial and multivariate normal distribution.

CO77: Solve dynamic programming problems using various methods.

CO78: Determine the inventory level of an industry for the smooth functioning and Understand the concept of probability inventory problems.

CO79: Solve the problems related to  queuing theory and PERT-CPM  to solve network.

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

 

1. Power curve for testing one sided Null Hypothesis hypothesis against one sided and two sided attentive for

(i) Binomial distribution

(ii) Poisson distribution

(iii) Normal distribution

(iv) Exponential distribution

2. Linear combination of correlated normal variates and evaluation of probabilities.

3. Estimation of mean vector and covariance matrix.

4. Testing of partial and multiple correlation coefficients.

5. Discriminate function.

6. Decision problems under uncertainty and risk.

7. Solving linear Programming Problem using graphical method.

8. Solving linear Programming Problem using simplex method.

9. Deterministic Inventory problems.

10. Queuing models M/M/1 and M/M/c.

11. Sequencing problem

12. Pert- CPM

13. Practical based on the optional paper (STT-324) opted by students.

 

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

Academic Year: