Business Statistics
Question Paper June 2025
Dibrugarh
University BCOM 4th SEM NEP Syllabus
COMMERCE (Core)
Paper:
COM(FIN/MKT/BNI/HRM)
Full Marks: 60 | Time:
2 hours
The figures in the
margin indicate full marks for the questions.
1. Answer any six questions of the following: (2×6=12)
(a) What is
the arithmetic mean of 2, 6, 8, 10 and 15?
(b) Write
two differences between sample survey and complete enumeration.
(c) If the
correlation coefficient between two variables x and y is +1 and byx=0.5, then find the value of bxy.
(d) Write
two properties of correlation coefficient.
(e) Write
the mathematical definition of probability.
(f) If P(A)=1/3, P(B)=1/4 and P(A∩B) = 1/6, then find the value of P(A∪B).
(g) Write
the multiplication model of time series analysis.
(h) What do
you mean by 'base year' in the construction of index numbers?
2. (a) (i) Prove that for any two values AM≥GM≥HM.
(ii) Calculate median from the following distribution: (4)
|
Marks |
0-10 |
10-20 |
20-30 |
30-40 |
40-50 |
50-60 |
60-70 |
|
No. of Students |
20 |
30 |
25 |
45 |
35 |
40 |
15 |
(iii) Calculate standard deviation for the following distribution: (5)
|
Marks |
0-10 |
10-20 |
20-30 |
30-40 |
40-50 |
|
No. of Students |
8 |
13 |
16 |
8 |
5 |
OR
(b) (i) Write the advantages of sample survey over complete enumeration.
(3)
(ii) Write a note on random sampling and judgemental sampling. (4)
(iii) Write a note on any one of the following: (5)
- Simple random sampling
- Systematic sampling
3. (a) (i) Prove the relationship between coefficient of correlation and
the two regression coefficients. (3)
(ii) If the two regression lines are 2x - 3y = 0 and 4y - 5x - 8 = 0,
then find the arithmetic mean of x and y. (4)
(iii) Calculate the coefficient of rank correlation from the data given
below: (5)
|
X: |
44 |
33 |
40 |
9 |
16 |
65 |
24 |
18 |
44 |
20 |
|
Y: |
13 |
10 |
24 |
6 |
15 |
4 |
20 |
9 |
10 |
19 |
OR
(b) (i) What is Karl Pearson's coefficient
of correlation? What is its range? (3)
(ii) Prove that Karl Pearson's coefficient of correlation is independent
of the change of origin and scale of measurement. (4)
(iii) From the data given below, find the regression
equation of y on x: (5)
|
x: |
52 |
63 |
45 |
36 |
72 |
65 |
47 |
25 |
|
y: |
62 |
53 |
51 |
25 |
79 |
43 |
60 |
33 |
4. (a) (i) If P(A) = 1/2, P(B) = 1/3 and P(AB) = 1/4, then find P(A/B)
and P(B/A). (3)
(ii) Find the probability of getting 53 Sundays in a randomly selected
leap year. (4)
(iii) Two bags contain 5 white and 3 black balls. Another contains 4
white and 5 black balls. Two balls are selected randomly from any one of the
urn. Find the probability that the selected two balls are white. (5)
OR
(b) (i) Write three properties of mathematical expectation. (3)
(ii) From the following data, find the mathematical expectation and
variance: (4)
|
X: |
1 |
2 |
3 |
|
P(X=x): |
1/6 |
1/3 |
1/2 |
(iii) Mean and variance of a binomial variate X are 6 and 4. Find the
value of n and P. Write the probability distribution of X. (5)
5. (a) (i) Prove that Fisher's index number satisfies time reversal
test. (3)
(ii) Discuss the limitations of index numbers. (4)
(iii) Calculate cost of living index number from the data given below: (5)
|
Group |
Index No. |
Weight |
|
Clothing |
360 |
40 |
|
Food |
300 |
25 |
|
Fuel and Lighting |
267 |
7 |
|
House Rent |
120 |
8 |
|
Others |
320 |
20 |
OR
(b) (i) Write a short note on seasonal variation in a time series. (3)
(ii) Estimate the trend values by using 3 yearly moving average for the
following data: (4)
|
Year |
2011 |
2012 |
2013 |
2014 |
2015 |
2016 |
2017 |
2018 |
|
Sale |
60 |
46 |
53 |
54 |
48 |
48 |
42 |
51 |
(iii) Using the method of least squares, calculate the trend values for
the following data: (5)
|
Year |
2008 |
2009 |
2010 |
2011 |
2012 |
|
Production |
100 |
140 |
150 |
180 |
200 |
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