Loyola College M.Sc. Statistics Nov 2008 Statistical Computing – I Question Paper PDF Download

LOYOLA COLLEGE (AUTONOMOUS), CHENNAI – 600 034

BA 23

M.Sc. DEGREE EXAMINATION – STATISTICS

FIRST SEMESTER – November 2008

    ST 1812 – STATISTICAL COMPUTING – I

 

 

 

Date : 13-11-08                 Dept. No.                                        Max. : 100 Marks

Time : 1:00 – 4:00

  Answer any THREE questions. Each carries THIRTY FOUR marks.

 

  1. (a). Fit a distribution of the type

P(x) = (1/2) [P1(x) + P2(x)]

where P1(x) = (e –μ  μ x ) / x!  ; x = 0,1,2, …, μ  >0

 

and   P2(x) = (e –λ  λ x ) / x!  ; x = 0,1,2, …, λ >0

for the following data on the frequency of accidents during 106 weeks in

Chennai:

 

No. of accidents  :  0         1         2         3       4          5

 

No. of weeks       : 26       46       20        6       5          3 .

Also test the goodness of fit at 5% level of significance.

(18)

(b) In a population containing 539 live birds of same weight and age , the birds

were divided into 77 equal groups. They were then given a stimulus to increase

the growth rate . The following data gives the frequency distribution of those

with significant weight at the end or 6 weeks. Fit a truncated  binomial

distribution and test the goodness of fit at 5% of level of significance.

 

No. of  birds :   1       2           3         4          5          6          7

Frequency    :               7      16         22       18         9          3          2

(16)

  1. (a). Find a g-inverse of the following matrix.

 

2         2          3          3          1

2         3          3          2          7

5         3          7          9          2

3         2          4          7          3

(17)

(b) Find the characteristic roots and vectors of the following matrix:

 

1         1        1

1        -1        2

0         1        1

( 17)

  1. (a) Generate a random sample of size 15 from Cauchy distribution with p.d.f.

f(w) = (1/π) [  λ / { λ 2 + (w – θ) 2  } ] , taking θ = 50 and  λ =5. 14)

 

 

 

 

(b)   Verify whether or not the following  matrix is positive definite:

 

12            4            -4

4          12              4

-4           4             20

(10)

(c)   Find the rank of the given matrix A by performing row operations:

 

3        2          3          1

4        3          5          2

2        1          1          0                                                                                                         (10)

 

  1. Consider the following data for a dependent variable representing repair time in hours and two independent variables representing months since last service and type of repair.

Customer             Months since              Type of Repair          Repair time

last service                                                      in hours

1                      2                                  1                                  2.9

2                      6                                  0                                  3.0

3                      8                                  1                                  4.8

4                      3                                  0                                  1.8

5                      2                                  1                                  2.9

6                      7                                  1                                  4.9

7                      9                                  0                                  4.2

8                      8                                  0                                  4.8

9                      4                                  1                                  4.4

10                    6                                  1                                  4.5

 

Using these data, develop an estimated regression equation relating repair time in hours to months

since last service and type of repair. Estimate the repair time if months since last service  = 12 and

type of repair = 1.

 

  1. The following table gives the annual return, the safety rating (0=riskiest, 10 = safest) and the annual expense ratio for 10 foreign funds (Mutual funds, March 2006).

 

Foreign Funds                   Safety Rating              Annual Expense          Annual

Ratio (%)                     Return (%)

1                                              7.1                   1.5                               49

2                                              7.2                   1.3                               52

3                                              6.8                   1.6                               89

4                                              7.1                   1.5                               58

5                                              6.2                   2.1                               131

6                                              7.4                   1.8                               59

7                                              6.5                   1.8                               99

8                                              7.0                   0.9                               53

9                                              6.9                   1.7                               77

10                                            7.7                   1.2                               61

  1. Use F-test to determine the overall significance of the relationship at 0.05 level of significance.
  2. Use t-test to determine the significance of each independent variable at 5 % level of significance.

 

 

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