Total No. of
Questions: 07
Paper
ID [C0167]
MBA
(Sem.-1st)
QUANTITATIVE
TECHNIQUES (MB-104)
Subject Code: MB-104 (2k9)
Time: 3 Hrs. Max.
Marks: 60
Instruction to Candidates:
1.
Section-A is
Compulsory.
2.
Attempt any Four
questions from Section-B.
SECTION-A
Q1. Explain
briefly the following terms/method procedure in the context of quantitative
techniques.
(a)
Value of
depreciation of good having value Rs. 400 at the rate of 15 percent.
(b)
If A= then show that A(B+C)= (A+B)C
(c)
Binomial Theorem.
(d)
Mean v/s node as
measure of central condency.
(e)
Index Numbers.
(f)
Correlation v/s
Regression.
(g)
Compare and contrast
Trend Component v/s seasonal component of a time series.
(h)
Additive Law v/s
Multiplicative Law of Probability.
(i)
Two kinds of errors in
test of significance.
(j)
Small sample v/s large
sample tests.
SECTION-B
Q2. (a) (i) Prove that A(B
(ii) Solve the following equation for x
(b)
Find the inverse of ,
if it exists.
Q3. (a) Find the sum of the following series.
(i)1+
(ii)
3+7+11+-------43.
(b)
Calculate mean, median and mode for the following data.
Groups
|
5-7
|
7-9
|
9-11
|
11-13
|
13-15
|
15-17
|
17-19
|
No. of observations
|
4
|
7
|
11
|
5
|
3
|
2
|
1
|
Q4. (a) Following table gives average daily per
capita expenditure on food items (Y) and average per capita total daily
expenditure (X) for different income classes.
Y
|
11.7
|
7.8
|
6.3
|
13.7
|
15.2
|
18.2
|
24.2
|
30.8
|
52.9
|
54.0
|
X
|
195
|
230
|
274
|
312
|
344
|
491
|
645
|
863
|
1175
|
1180
|
Find linear Regression of Y on X and interpret the
results.
Q5. (a) Calculate coefficient of variation for the
information given below and interpret the results.
Factory
|
Av.
weekly wages
|
Standard
Deviation
|
No.
of Workers.
|
A
|
34.5
|
5.0
|
476
|
B
|
28.5
|
4.5
|
524
|
(b) Discuss
Time Reversal Test and Factor Reversal Test for index numbers and show that
Fisher’s ideal index statistics these test using an example.
Q6. (a) Find out quarterly seasonal indices
using moving average method for the following data of no. of defects per
quarter for 2005 to 2008.
Quarter
|
||||
Year
|
Q1
|
Q2
|
Q3
|
Q4
|
2005
|
25
|
20
|
22
|
18
|
2006
|
27
|
23
|
20
|
19
|
2007
|
18
|
19
|
18
|
17
|
2008
|
17
|
16
|
15
|
15
|
(b) A coin is so biased
to give head twice as likely as tail. It is tossed 3 times. What is the
probability that it turned out at least one head?
Q7. (a)
Wha is Baye’s Theorem? Explain its application with an example.
(b) Following is record
of marks obtained in a I.Q. test before and after training to 9 students. Test the significance of the training using
appropriate test.
Students:
|
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
I.Q. Score Before:
|
15
|
21
|
17
|
19
|
9
|
11
|
27
|
29
|
31
|
After
|
18
|
23
|
15
|
14
|
14
|
21
|
16
|
22
|
25
|
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