Master of Business Administration- MBA
Semester 1
MB0040 – Statistics for
Management - 4 Credits
(Book ID: B1129)
Assignment Set - 1 (60
Marks)
Note: Each question
carries 10 Marks. Answer all the questions.
Q1.
Define “Statistics”. What are the functions of Statistics? Distinguish between
Primary data and Secondary data.
Q2.
Draw a histogram for the following distribution:
Age
|
0-10
|
10-20
|
20-30
|
30-40
|
40-50
|
No. of people
|
2
|
5
|
10
|
8
|
4
|
Q3.
Find the (i) arithmetic mean and (ii) the median value of the following set of
values: 40, 32, 24, 36, 42, 18, 10.
Q4.
Calculate the standard deviation of the following data:
Marks
|
78-80
|
80-82
|
82-84
|
84-86
|
86-88
|
88-90
|
No. of students
|
3
|
15
|
26
|
23
|
9
|
4
|
Q5.
Explain the following terms with respect to Statistics: (i) Sample, (ii)
Variable, (iii) Population.
Q6. An unbiased coin is
tossed six times. What is the probability that the tosses will result in: (i)
at least four heads, and (ii) exactly two heads
Master of Business Administration- MBA
Semester 1
MB0040 – Statistics for
Management - 4 Credits
(Book ID: B1129)
Assignment Set - 2 (60
Marks)
Note: Each question
carries 10 Marks. Answer all the questions.
Q1. Find Karl Pearson’s
correlation co-efficient for the data given in the below table:
X
|
18
|
16
|
12
|
8
|
4
|
Y
|
22
|
14
|
12
|
10
|
8
|
Q2.
Find the (i) arithmetic mean (ii) range and (iii) median of the following data:
15, 17, 22, 21, 19, 26, 20.
Q3.
What is the importance of classification of data? What are the types of
classification of data?
Q4. The data given in
the below table shows the production in three shifts and the number of
defective goods that turned out in three weeks. Test at 5% level of
significance whether the weeks and shifts are independent.
Shift
|
1st Week
|
2nd Week
|
3rd Week
|
Total
|
I
|
15
|
5
|
20
|
40
|
II
|
20
|
10
|
20
|
50
|
III
|
25
|
15
|
20
|
60
|
Total
|
60
|
30
|
60
|
150
|
Q5. What is sampling?
Explain briefly the types of sampling
Q6.
Suppose two houses in a thousand catch fire in a year and there are 2000 houses
in a village. What is the probability that: (i) none of the houses catch fire
and (ii) At least one house catch fire?