No. of Printed Pages: 6 IMST-oosi
POST GRADUATE DIPLOMA IN
APPLmD STATISTICS (PGDAST)
Term-End Examination

tJ0225
June, 2016
MST-OOS STATISTICAL TECHNIQUES
Time: 3 hours Maximum Marks: 50
Note: Question no. 1 is compulsory. Questions no. 2 to 5
have internal choices. . Use ofscientific calculator is allowed.
(iii) Use of Formulae and Statistical Tables Booklet for
PGDAST is allowed. Symbols have their usual meaning.

1. State whether the following statements are true or false. Give reasons in support of your answers.

(a) In cluster sampling, sw^2 where sw^2 represents the variance within clusters and sb^2 between clusters. When population size N is not a multiple of sample size linear systematic sampling is appropriate. If the sum of squares of errors in a two-way ANOVA having 4 rows and 5 columns is given as 48, the mean sum of squares will be 4 for the same. If there is one missing value in Randomised Block. Design with 3 blocks and 4 treatments, the total degrees of freedom will be 10. Pseudo Random Numbers are not the random numbers.

2. The table given below presents the summary of data of complete census of all the 450 farms of wheat in a region. The farms were stratified according to farm size (in acres) into 2 strata. The population values of strata means and standard deviation for the area under wheat
are given as follows

Strata Farm Size No. of Strata Standard
No. (in Acres) Farms Means Deviation

l. 0-100 300 45 15
2. 100-200 150 90 60
How would you draw the sample of size 45 using Proportional allocation; Neyman allocation?
Also obtain the variance of the estimate of the population mean for the proportion allocation and compare its efficiency with simple random sampling without replacement.

OR

Distinguish between linear and circular systematic sampling with an example. The information regarding production of wheat (in thousand kg) in 25 districts are collected for a particular reason. Select all possible systematic random samples of 7 units from the data given below (using appropriate method)

23, 20, 30, 37, 76, 36, 13, 36, 16, 58, 53, 83, 10, 15, 13, 17, 12, 16, 17, 21, 20, 18, 61, 31, 71.

3. Describe the assumption of randomness in ANOVA.

A manufacturer wishes to determine the effectiveness of four types of machines e and D in the production of bolts. To accumulate this, the number of defective bolts produced for each of two shifts are shown in the following table:

Machine I Shift II Shift
A 24 30
B 41 44
C 32 31
D 28 38
Perform an Analysis of Variance method to determine whether there is a difference between machines, and between the shifts, at level of significance.

OR Describe the mathematical model used in Two-way Analysis of Variance. Mention the hypotheses employed. The following data represents the production (in kg) of three varieties of wheat Q and R shown as

P 14 16 18
Q 14 13 15 22
R 18 16 19 15 20

Is there any significant difference in the production of these varieties at level of significance?

4. In the following design, the letters C and D represent 4 varieties of wheat; the rows represent 4 different fertilizers; and the columns represent 4 different years. The data are the yields for the 4 varieties of wheat measured in kilograms per plot. Under the assumption that various sources of variatIon don't interact, test at a 0.05, the hypothesis that there is no difference in the average yields of the 4 varieties of wheat, fertilizers and years:

Year 2001 2002 2003 2004
Fertilizers
1 A 70 B 75 C 68 D 81
2 D 66 A 59 B 55 C 63
3 C 59 D 66 A 39 B 42
4 B 41 C 57 D 39 A 55

OR

A 2^2 experiment was conducted in order to obtain an idea of the interaction spacing x number of seedlings per hole, along with the effects of different types of spacing and different number of seedlings per hole while adopting the Japanese method of cultivation.
The levels of two factors are
s spacing in between; 10" spacing in between) and n seedlings per hole; 4 seedlings per hole).

The field plan and yield of dry Arnan paddy (in kg) for each plot are given below: <img src='./qimages/12482-4.jpg'>
Analyse the data to find out if there are any significant treatment effects main or integration.

5. Explain Lottery method of generation of random numbers with an example.

Generate a complete cycle for the Linear Congruential Generator given below:

xi with x0 5.

Also obtain a sequence of heads and tails using them.

OR

The following table gives the frequency distribution of 100 random numbers generated from distribution:

Class Interval Frequency 02 04 18 19
0-0.5 12
0.5 -1.0 14
1.0 -1.5 14
1.5 -2.0 05
2.0 -2.5 02
2.5 -3.0 02
Using chi-square test of randomness determine whether the fit is satisfactory