LOYOLA COLLEGE (AUTONOMOUS), CHENNAI – 600 034
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M.Sc. DEGREE EXAMINATION – STATISTICS
THIRD SEMESTER – November 2008
ST 3810 – STATISTICAL COMPUTING – II
Date : 07-11-08 Dept. No. Max. : 100 Marks
Time : 9:00 – 12:00
Answer ALL the questions: ( 5 x 20 = 100 )
1).(a) Let X ~ N4 , compute
b). Two independent samples observation are drawn from a bivariate normal distribution with common population variance matrix. Test whether the two groups have the same population mean vector.
Group A
Age | 55 | 58 | 59 | 60 | 62 | 65 | 68 |
Bp | 120 | 125 | 130 | 100 | 105 | 120 | 116 |
Glucose | 140 | 145 | 155 | 158 | 162 | 170 | 180 |
Group B
Age | 59 | 62 | 58 | 57 | 56 | 69 | 65 | 62 |
Bp | 100 | 126 | 95 | 100 | 105 | 110 | 115 | 120 |
Glucose | 145 | 155 | 148 | 142 | 143 | 160 | 159 | 156 |
2). (a) Let X be normally distributed according as N3 ( ,
with .
Find conditional distribution (X1 | X2 = 8, X3 = 5).
b). Find the maximum likelihood estimator of the 2 x 1 mean vector and 2 x 2 covariance matrix based on the random sample from the bivariate normal population.
c). Income in excess of Rs. 2000 of people in a city is distributed as exponential 20 people were selected and their incomes are shown below
2200 | 3250 | 8000 | 8500 | 9500 |
2500 | 4500 | 6200 | 6000 | 8100 |
3000 | 7500 | 2100 | 7200 | 3700 |
2750 | 10000 | 9000 | 8600 | 97500 |
Obtain the point estimate of the expected income of a person in this city by maximum likelihood method. Obtain the estimate of its variance.
3) (a) The biologist who studies the spiders was interested in comparing the lengths of female and male green, lynx spiders. Assume that the length X of the female spider is approximately distributed as and the length Y of the male spider is approximately distributed as . Find an approximately 95 % confidence interval for () using 30 observation of X.
5.2 | 4.7 | 5.75 | 7.5 | 6.45 | 6.55 | 4.7 | 4.8 | 5.95 | 5.2 |
6.35 | 6.95 | 5.7 | 6.2 | 5.4 | 6.2 | 5.85 | 6.8 | 5.65 | 5.5 |
5.65 | 5.85 | 5.75 | 6.35 | 5.75 | 5.95 | 5.9 | 7 | 6.1 | 5.8 |
and the 30 observation of Y ,
8.25 | 9.95 | 5.9 | 6.55 | 8.45 | 7.55 | 9.8 | 10.9 | 6.6 | 7.55 |
8.1 | 9.1 | 6.1 | 9.3 | 8.75 | 7 | 7.8 | 8 | 9 | 6.3 |
8.35 | 8.7 | 8 | 7.5 | 9.5 | 8.3 | 7.05 | 8.3 | 7.95 | 9.6 |
Where measures are in millimeters.
(b) .Given below are the qualities of 10 items ( in proper units) produced by two processors A and B.Test whether the variability of the quantity may be taken to be the same for the two processors
Processor A | 33 | 37 | 35 | 36 | 35 | 34 | 34 | 35 | 33 | 33 |
Processor B | 38 | 35 | 37 | 38 | 33 | 32 | 37 | 36 | 35 | 37 |
4). (a). For a 3 state Markov Chain with state {0, 1, 2,} and TPM
find the mean recurrence times.
- From the following population of 10 clusters compare the following sampling designs for the estimation of the population total
(i) Select 5 clusters by SRSWTR method
(ii) Draw an SRSWTR of 8 clusters and select a SRSWTR of size 2 from each
cluster and comment upon your results
C luster No. | Values of the | variates | ||
1 | 345 | 123 | 345 | 456 |
2 | 256 | 345 | 367 | 345 |
3 | 321 | 145 | 456 | 256 |
4 | 267 | 235 | 387 | 478 |
5 | 378 | 378 | 367 | 245 |
6 | 409 | 254 | 390 | 346 |
7 | 236 | 378 | 342 | 234 |
8 | 265 | 456 | 234 | 290 |
9 | 234 | 321 | 345 | 456 |
10 | 267 | 149 | 456 | 345 |
5) A sample survey was conducted with the aim of estimating the total yield of paddy. The area is divided into three strata and from each stratum, 4 plots are selected using SRSWTR. From the data given below, calculate an estimate of the total yield along with an estimate of its variance.
Stratum No. | Total No. of Plots | Yield of Paddy for 4 Plots in the sample ( Kgs ) | |||
I | 200 | 120 | 140 | 160 | 50 |
II | 105 | 140 | 80 | 200 | 140 |
III | 88 | 110 | 300 | 80 | 130 |
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