Time: 3 Hours Max.
Marks: 80
SECTION –A
(Answer all questions in one word or one
sentence each. Each question carries 1 mark)
1.
Define statistics in plural
sense
2.
What is cluster sampling?
3.
The data collected by the
investigator through interview method is ______ data
4.
What is a line of best fit?
5.
Define correlation.
6.
What do you mean by census
method?
7.
If the mode is ill defined how
will you compute the mode?
8.
What is cost of living index?
9.
If Q1= 10 and Q3 = 40 find the
coefficient of quartile deviation.
10.
What is seasonal variation? (10*1=10)
SECTION –B
(Answer
any eight questions in one
paragraph each. Each question carries 2 marks)
11.
Distinguish between primary
data and secondary data.
12.
What are bar diagrams? Mention
any four types of bar diagrams.
13.
N=10 , ∑D2 = 100
compute Spearmans rank correlation coefficient.
14.
The mean wages of 40 male
workers in a factory is Rs 100 and that of 60 female workers in the same
factory is Rs 80. Find the combined mean wages if 100 workers in the factory.
15.
What are the components of time
series?
16.
Draw a histogram on the basis
of the data given below:
|
Month
|
0-20
|
20-40
|
40-60
|
60-80
|
80-100
|
|
No of students
|
15
|
25
|
35
|
20
|
5
|
17.
Determine the median:
110,115,140,117,109,113,120
18.
What is false base line? When
is it used?
19.
What is pictograms and
cartograms?
20.
Describe a statistical unit.
21.
Write briefly about Karl
Pearson’s coefficient of correlation.
22.
How is time series analysis
useful for business forecasting? (8*2=16)
SECTION –C
(Answer any
six questions in not exceeding 120 words. Each question carries 4 marks)
23. What are the parts of a table?
24. What are the features of index numbers?
25. Explain the different types of
classification of data.
26. What are the points to be considered while
drafting a questionnaire?
27. Explain the various measures of dispersion.
28. From the chain base index numbers given
below prepare fixed base index numbers
Years: 2001 2002 2003 2004 2005
Chain base index numbers: 80 110 120 90 140
29. From the data given below calculate the GM
:
15,
250,15.7,157,1.57,105.7,10.5,1.06,25.7,0.257
30. Find the mean of variable x and y from the
following data :
regression of y on x : 2y –x- 50=0
regression of y on x : 2y –x- 50=0
Regression of x on y :
3y-2x-10=0
31. Calculate 5
yearly moving average of the number of students studying in an engineering
college from the following data:
|
Year
|
2000
|
2001
|
2002
|
2003
|
2004
|
2005
|
2006
|
|
No of students
|
111
|
150
|
175
|
196
|
201
|
203
|
205
|
(6*4=24)
SECTION- D
(Answer any
two questions in not
exceeding four pages each. Each question carries 15 marks each)
.
32. Explain the characteristics and functions
of statistics.
33. Calculate the coefficient of correlation
obtain the lines of regression for the following:
X: 1 2 3 4 5 6 7 8 9
Y: 9 8 10 12 11 13 14 16 15
Obtain
an estimate of Y which should correspond to the average X=6.2
34. Following are the data related with the
prices and quantities consumed for 2010 and 2012
|
Commodity
|
2010
|
2010
|
2012
|
2012
|
|
|
Price
|
Quantity
|
Price
|
Quantity
|
|
Rice
|
5
|
15
|
7
|
12
|
|
Wheat
|
4
|
5
|
6
|
4
|
|
Sugar
|
7
|
4
|
9
|
3
|
|
Tea
|
52
|
2
|
55
|
2
|
Construct
price index numbers by
1. Laspeyre’s method
2. Paasche’s method
3. Bowly’s- Dorbish method
4. Marshall – Edgeworth method
5. Fischer’s method
35. What is sampling? Explain various methods
of sampling.
(2*15=30)
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