Loyola College M.Sc. Statistics April 2012 Statistical Computing – I Question Paper PDF Download

LOYOLA COLLEGE (AUTONOMOUS), CHENNAI – 600 034

M.Sc. DEGREE EXAMINATION – STATISTICS

FIRST SEMESTER – APRIL 2012

ST 1817 – STATISTICAL COMPUTING – I

 

 

Date : 03-05-2012             Dept. No.                                        Max. : 100 Marks

Time : 9:00 – 12:00

  1. a) For the following frequency distribution fit a poisson distribution and test the goodness of fit at 5 % level. (12 marks)

 

X f
0 212
1 128
2 37
3 18
4 3
5 2

 

  1. b) The following data gives the frequency of accidents in a city during 100 weeks.

 

No. of accidents No.of weeks
0 25
1 45
2 19
3 5
4 4
5 2

 

Fit a distribution of the form  P (X = x ) =  for the given data and test goodness of fit at 5 %  level.                                                              (21 marks)

 

 

 

 

 

  1. a) Five biased coin were tossed simultaneously 1000 times and at each toss the no. of heads was observed. The following table gives the no.of heads together with its frequency (17 marks)

 

 

       X

( no. of heads)

0 1 2 3 4 5
f(x) 38 144 342 287 164 25

 

Fit a binomial distribution to the above data and test whether the fit is good at 5 % level.

 

b)

Travel time Y 9.3 4.8 8.9 6.5 4.2 6.2 7.4 6 7.6 6.1
No.of deliveries 4 3 4 2 2 2 3 4 3 2
Miles travelled 100 50 100 100 50 80 75 65 90 90

 

  • Build a multiple linear regression model for the above data.
  • Determine                                                                                                  (17 marks)

 

  1. a) Find the inverse of the following matrix using partitioning method.

 

 

A =                                                                             (23 marks)

 

  1. b) Find the rank of A, where A = (10 marks)

 

 

 

 

4.a)  Determine the characteristic roots and vectors of the matrix

 

(15 marks)

 

  1. b) Write the quadratic forms of the matrix

 

 

A =                                                                  (18 marks)

 

5.Compute tolerance and variance inflation factor for each explanatory  variable based on auxiliary regression equation and the  given data .

 

 

 

 

 

 

 

 

 

 

Y
8 5.2 5.1 2.3
9 5.6 5.2 1.2
7 4.8 4.7 1.5
5 4 3.2 1.6
6 6 3.2 1.4
4 5 5.4 1.8
5 4.5 3.9 1.9
2 2.3 2.6 1.8
1 1.5 1.8 1.5
3 2.6 2.1 1.6

 

(33 marks)

 

 

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