Roll
No.
Total
No. of Questions : 07
BBA (Sem.–3rd)
BUSINESS STATISTICS
Subject Code : BB-304
Paper ID : [C0216]
Time
: 3 Hrs.
INSTRUCTION
TO CANDIDATES :
1. Section –A,
is Compulsory.
2. Attempt any
four questions from Section-B.
Section –A
l.
Write briefly :
a) Define mean and discuss its relative
merits and demerits.
b) Distinguish between fixed base and chain
base index numbers.
c) Explain the mathematical properties of
Standard Deviation.
d) Briefly explain the advantages of
tabulation of data.
e) State the properties of Regression
analysis.
f) State the limitations of Classical
Approach to probability.
g) What are the requirements of a good
average?
h) State the advantages of diagrammatic
presentation of data.
i) Discuss the merits of Moving Averages
method.
j) Define Independent and Mutually
Exclusive Events.
2.
Find the mean, median, and modal ages of married women at first child
birth.
Age at the
first child Birth No. of
married women
18 37
19 162
20 343
21 390
22 256
23 433
24 161
25 355
26 65
27
85
28 49
29 46
30
40
3.
In a survey a person has collected income and expenditure on food of 10
families selected at random. The particulars
are as follows :
Income
(Rs)
|
120
|
90
|
80
|
150
|
130
|
140
|
110
|
95
|
75
|
150
|
Expenditure (Rs)
|
40
|
36
|
40
|
45
|
40
|
44
|
45
|
38
|
50
|
35
|
Find correlation coefficient. Estimate the
food expenditure for income of
Rs. 125; and predict the income level to
meet the food expenditure of
Rs.75.
4.
a) What is Dispersion? Discuss briefly various measures of dispersion.
b) Calculate the Standard deviation for the
data given below :
Weekly wages (Rs)
|
No. of Workers
|
150-180
180-210
210-240
240-270
270-300
300-330
330-360
360-390
390-420
|
18
23
40
25
16
13
8
5
3
|
5. Given data :
Items
|
2009
|
2010
|
||
Price
|
Quantity
|
Price
|
Quantity
|
|
Rice
Oil
Tea
Washing powder
Sugar
Milk
|
4
30
8
60
4
4
|
6
2
1
½
4
3
|
5
33
9
80
5
6
|
6
2
1
1
5
3
|
Test the adequacy
of index by the Time Reversal Test and the Factor
Reversal Test. (10)
6.
a) Define probability. Explain various laws of probability.
b) Probability that a man will be alive 25
years hence is 0.3 and the
probability that
his wife will be alive 25 years hence is 0.4. Find the
probability that 25
years hence
i) both will be
alive
ii) only the
man will be alive
7.
What is Time Series? What are its main components? Also discuss the
various methods of Time Series analysis.
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