IGNOU| QUANTITATIVE ANALYSIS FOR MANAGERIAL APPLICATIONS (MS - 08)| QUESTION PAPER – (DEC - 2022)| (MP)
MANAGEMENT PROGRAMME (MP)
Term-End Examination
December - 2022
MS-08
QUANTITATIVE ANALYSIS FOR MANAGERIAL
APPLICATIONS
Time: 3 Hours
Maximum Marks: 100
Note: (i) Section A has six questions, each carrying
15 marks. Attempt any four questions from this Section.
(ii) Section B
is compulsory and carries 40 marks. Attempt both questions.
(iii) Use of
calculator is permissible.
Section-A
1. What do you understand by the term 'Statistics'? Explain various statistical techniques which can be helpful for a decision maker in solving problems.
2. Calculate the median from the following data:
|
Marks (less than) |
No. of Students |
|
80 70 60 50 40 30 20 10 |
100 90 80 60 32 20 13 5 |
3. The customer accounts of a certain departmental stores
have an average balance of 120 and a standard deviation of 40. Assuming the
account balances are normally distributed:
(i) What
proportion of the accounts is over 150?
(ii) What
proportion of the accounts is between 100 and 150?
Given:
Probability (0 ≤
z < 0.5) is 0.1915
Probability (0 ≤
z < 0.75) is 0.2734
4. What is sampling'? List the various reasons that make
sampling so attractive in drawing conclusions about the population.
5. Find the coefficient of correlation between X and Y
from the following data:
|
Marks (less than) |
No. of Students |
|
1 2 3 4 5 6 7 8 9 |
12 11 13 15 14 17 16 19 18 |
6. Write short notes on any three of the following:
(a) Sources of
secondary data
(b) Binomial
distribution
(c) Hypothesis
(d) The
correlation coefficient
(e) Least square
criterion
Section-B
7. A purchase manager knows that the hardness of castings
from any supplier is normally distributed with a mean of 20.25 and S. D. of
2.5. He picks up 100 samples of castings from a supplier who claims that his
castings have higher hardness and finds the mean hardness as 20.50. Test
whether the claim of the supplier is tenable. (The tabulated value of test
statistics is 1.645).
8. What do you understand by measures of variation? Discuss
measuring variation. Also, describe the significance of the properties of a
good measure of variation.
***
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