Syllabus & Course Curriculam
Course Type: ME-7
Semester: 7
Course Code: BSTAMEA47S
Course Title: Descriptive Statistics Lab
(L-P-Tu): 0-6-0
Credit: 4
Practical/Theory: Practical
Course Objective:
Learning Outcome: This will provide hand use of STATISTICS in common areas
List of Practical
1. Problems based on measures of central tendency.
2. Problems based on moments, skewness and kurtosis.
3. Karl Pearson correlation coefficient.
4. Spearman’s rank correlation.
List of Practical (Using TORA/WINQSB/LINGO)
1. Mathematical formulation of L.P.P and solving the problem using graphical method, Simplex technique and Charne’s Big M method involving artificial variables.
2. Identifying Special cases by Graphical and Simplex method and interpretation
a. Degenerate solution
b. Unbounded solution
c. Alternate solution
d. Infeasible solution
3. Allocation problem using Transportation model.
4. Allocation problem using Assignment model.
5. Problems based on game matrix.
6. Graphical solution to mx2 / 2xn rectangular game.
7. Mixed strategy.
Reading References:
Taha, H. A. (2007): Operations Research: An Introduction, 8 Hall of India.
Kanti Swarup, Gupta, P.K. and Manmohan (2007): Operations Research, 13th Edition, Sultan Chand and Sons.
Hadley, G: (2002) : Linear Programming, Narosa Publications
Hillier, F.A and Lieberman, G.J. (2010): Introduction to Operations Research- Concepts and cases, 9th Edition, Tata McGraw Hill
Basic Features
Undergraduate degree programmes of either 3 or 4-year duration, with multiple entry and exit points and re-entry options, with appropriate certifications such as:
Note: The eligibility condition of doing the UG degree (Honours with Research) is- minimum75% marks to be obtained in the first six semesters.
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