# MBA– 202 Quantitative Techniques

Paper Code: MBA– 202

Paper Title: Quantitative Techniques

Last date of submission: Max. Marks: 15

Note : Question No. 1 is of short answer type and is compulsory for all the students.

It carries 5 Marks. (Word limits 50-100)

Q. 1. Answer all the questions:

(i) What is the difference between qualitative and quantitative techniques?

(ii) Differentiate X3+ 3X2+X.

(iii) What is a Null matrix?

(iv) Give one example of Diagonal matrix.

(v) What is Maxi-Max Criterion?

Note: Answer any two questions. Each question carries 5 marks (Word limits 500)

Q. 2. Compute the inverse of the following matrix.

1 -3 5

10 4 7

0 6 -8
Q. 3. Explain the role of LPP in business decision making with suitable examples..

Q. 4. Find the correlation coefficient between X and Y

X 57 58 59 59 60 61 62 64

Y 77 78 75 78 82 82 79 81

Internal Assignment No. 2

Paper Code: MBA– 202

Paper Title: Quantitative Techniques

Last date of submission: Max. Marks: 15

Note : Question No. 1 is of short answer type and is compulsory for all the students.

It carries 5 Marks. (Word limits 50-100)

Q. 1. Answer all the questions:

(i) What are mutually exclusive and mutually exhaustive event.

(ii) What is the concept of EMV and EVPI?

(iii) Define seasonal analysis with an example

(iv) Four coins are tossed, find the probability of getting atleast 2 Tails.

(v) Give the meaning of irregular fluctuations and give one example of such fluctuations.

Note: Answer any two questions. Each question carries 5 marks (Word limits 500)

Q. 2. A newspaper boy buys magazines for Rs.13 each and sells them for Rs.18 each.

He can not return the unsold magazine. The past record of sales is as follows:.

Sales 23 24 25 26 27 28 29 30

Prob. .05 .10 .15 .30 .20 .10 .05 .05
i) Prepare the opportunity loss table

ii) Select the optimal act using expected opportunity loss criterion.

iii) Find EVPI

Q. 3.Find the regression equations between Sales and profit.

Sales 10 20 30 25 15 18 22 35 42

Profit 22 25 26 10 12 15 16 29 40

Q. 4. What is Poisson distribution? Explain the characteristics and formulae for Poisson

distribution

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