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University of Mumbai 2007-1st Sem M.E Construction Engineering & Management Applied Statistics & Quantitative Techniques - Question Paper

Tuesday, 16 July 2013 12:50Web



2nd(    Co-V    . st-m-37 PtDC.

Cun* 5896-07. flpplUJ &+'* + '<* * <?q**.+*Mv*.

(FURTHER REVISED COURSE)    (VlU

(4 Hours)    [Total Marks : 100

N.B. (1) Question No. 1 is compulsory.

(2)    Attempt any four questions out of remaining six questions.

(3)    Assume suitable data where necessary. State them clearly.

(4)    Use graphs and sketches to illustrate your answers where necessary.

1.    (a) Define probability. State and explain the multiplication law of probability.    20

(b) Explain (i) Slack variable (ii) Artificial variable and its use.

2.    Determine mean, median, mode, variance and standard deviation for the following data : 20

136,

124,

141,

165,

135,

145,

145,

137,

125,

142,

160,

132,

147,

146,

164,

149,

147,

146,

153,

137,

128,

163,

150,

146,

147,

155,

138,

129,

150,

155,

161,

16S,

137,

142,

131,

152,

157,

164,

169,

140,

147,

146,

131,

140,

120,

140,

135,

148,

162,

133,

146,

120,

144,

136,

150,

156,

144,

156,

151,

147,

158,

155,

151,

145,

160,

157,

145,

159,

157,

132

Prepare Histogram, less than Ogive curve.

3. (a) For the da:a given in Question No. 2. Calculate    12

(i)    M2, M3 and M4 about origin

(ii)    Moment of Kurtosis

(iii)    Coefficient of Kurtosis

(iv)    Coefficient of Skewness

(V) Cg, Pjg, Dgg .

(b) Prepare normal distribution curve foi the data in Question No. 2 and determine what 8 percentage of data lie between x a range.

Consider a project that yields an average cash flow of Rs. 500 lakhs with a standard deviation 10 of Rs. 60 lakhs. Calculate the following probabilitieis :

4. (a)


(i)    Cash flow will be more than Rs. 560 lakhs

(ii)    Cash flow wilt be less than Rs. 420 lakhs

(iii)    Cash flow will be between Rs. 460 lakhs and Rs. 540 lakhs

(iv)    Cash flow will be more than Rs. 680 lakhs.

Each of three identical jewellery boxes has Iwo drawers. In each drawer of the first box 10 there is a gold watch, in each drawer of the second box there is a silver watch. In one drawer of Ihe third box there is a gold watch while in the other there is a silver watch. If we select a box at random and open one of the drawers and find it to contain a silver watch. What is the probability that the other drawer has the gold watch ?

(b)


5. (a) Fit the least square curve for the data :

X

1-2

18

3-1

4-9

5-7

7-1

8-6

9-8

y

4-5

5 9

7-0

7-8

7-2

6-8

4-5

2-7

Determine value of y for x = 5, 10, 15.

(b)    Describe, 'andom sampling methods.    5

(c)    Describe any one distribution function.    5

[TURN OVER

. 'I    '    J .*:' '        .. . *

. i

\ > 

I'pew Gwi4

Con. 5BS6.BB.K.|iA 'j Btp, 0,' <.

6. (a) Solve the following transportation problem ;    | \ax/ ?/

"'"Destination Source

1

2

3

4

Supply

A

1

5

3

4

100

B

4

2

2

4

60

C

3

1

2 .

4

120

Demand

70

50

100

60

Find an optimal solution. Are there any other solutions ?

(b) Solve by graphical method :

Maximise Z = 3x, + 2xa

8x, + x2

>

8

2x, + x2

> 6

x, + 3x?

>

6

x, + 6x2

>

8

Xi x2

> 8

7. (a) Solve by Simplex method :

3    1

Maximise 2 --x, - 20x2 + ?> x3 - 6x4

S.T. -x, - 8x2 - x3 + 9x4 < 0

x, - 12x2 - -x3 + 3x4 < 0

Xg < 1

(b) Write notes on

(i)    Ahernate optima

(ii)    Surplus variable

(iii)    Slack variable

(iv)    Degenerate solution.







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