Business Statistics Question Paper' 2022
[Dibrugarh University B.Com 3rd Sem CBCS Pattern]
COMMERCE (Generic Elective)
Paper: GE – 303 (Business
Statistics)
Full Marks: 80
Pass Marks: 32
Time: 3 hours
The figures in the margin indicate full marks for the questions
1. Answer any eight questions of the following: 2x8=16
(a) State two important objects of measures of central value.
(b) Define seasonal variation in time series with example.
(c) Mention two limitations of classical definition of probability.
(d) The arithmetic means of runs scored by two batsmen X and Y in a
series of 10 innings are 20 and 25 respectively. The standard deviations of
their runs are 4 and 8 respectively. Who is the most consistent of the two?
(e) What do you mean by coefficient of correlation between two
variables?
(f) Distinguish between standard deviation and standard error.
(g) Mention two uses of consumer price index number.
(h) Define chronological data with an example.
(i) A binomial variable X has mean 6 and variance 4. Find the values
of n and p.
(j) Define stratified random sampling.
(k) Show that Fisher’s formula satisfies factor reversal test.
2. (a) (1) The arithmetic mean and geometric mean of two
observations are 5 and 4 respectively. Find the observations.
(2) Calculate mode from the following frequency distribution: 3, 4
Class:
|
20
– 29 |
30
– 39 |
40
– 49 |
50
– 59 |
60
– 69 |
Frequency:
|
8 |
12 |
4 |
15 |
9 |
(3) Distinguish between absolute and relative measures of
dispersion. 2
Or
(b) (1) The average salary of male employees
in a factory was Rs. 5,200 and that of females was Rs. 4,200. The mean salary
of all the employees was Rs. 5,000. Find the ratio of male and female employees
in the factory. 3
(2) Calculate variance from the following
data: 4
Class: |
10 – 20 |
20 – 30 |
30 – 40 |
40 – 50 |
50 – 60 |
Frequency: |
8 |
12 |
9 |
11 |
10 |
(3) Define skewness. For a frequency
distribution if Mean = 25, Mode = 30 and Variance = 25, find the coefficient of
skewness. 1+1=2
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Also Read: PAST EXAM QUESTION PAPERS AND SOLUTIONS (DIBRUGARH UNIVERSITY)
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2. Business Statistics Solved Questions Papers (CBCS Pattern): 2020 2021 2022
BUSINESS STATISTICS IMPORTANT QUESTIONS:
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BUSINESS STATISTICS CHAPTERWISE NOTES CLICK HERE
**********************
3. (a) (1) Explain the meaning of the
statement – “The probability of occurrence of an event A is 1/5”. 2
(2) A problem is given to three students X, Y
and Z. The probability of solving the problem by X, Y and Z are 1/2, 1/3 and
1/4 respectively. Find the probability that the problem will be solved. 3
(3) Under what conditions binomial
probability distribution can be used? 3
(4) Define a random variable. A random
variable X has the following probability distribution:
X: |
0 |
1 |
2 |
3 |
P (X): |
1/8 |
K |
1/4 |
1/8 |
Find the value of K. 2+3=5
(b) (1) State the properties of normal
probability distribution. 3
(2) Define Poisson probability distribution
with an example. 2
(3) A die is thrown. If X denotes the point
on the uppermost face, find E(X). 4
(4) A coin is tossed six times. Find the
probability of getting at least four heads. 4
4. (a) (1) Distinguish between correlation
and regression. 4
(2) From the following data, find the two
regression equations: 3+3=6
X: |
70 |
75 |
81 |
84 |
90 |
Y: |
100 |
105 |
95 |
110 |
115 |
(3) Why are there two lines of
regression? 3
Or
(b) (1) Show that coefficient of correlation
ranges from – 1 to + 1. 4
(2) The regression lines have the equations
x+2y = 5 and 2x + 3y = 8. Find Mean of X, Mean of Y and coefficient of
correlation. 2+4=6
(3) What is Spearman’s rank correlation? 3
5. (a) (1) What is time reversal test? Show
that Fisher’s formula satisfies time reversal test. 4
(2) Calculate Fisher’s price and quantity
index number from the following data: 3+3=6
|
Base Year |
Current Year |
||
Items |
Price (Rs.) |
Quantity |
Price (Rs.) |
Quantity |
A B C D |
10 12 8 4 |
4 5 2 6 |
15 20 10 5 |
6 8 5 10 |
(3) What are the limitations of index number?
3
Or
(b) (1) Why is index number called economic
barometer? 3
(2) Calculate cost of living index number
from the given data: 6
|
Price |
|
|
Items |
Base year |
Current year |
Weight |
A B C D |
10 15 9 20 |
18 30 12 32 |
3 2 4 1 |
(3) Write the differences between chain-base
index number and fixed-based index number. 4
6. (a) (1) What do you understand by analysis
of time series? What is the need to analyze a time series? 1+3=4
(2) Calculate trend values by the method of
least squares from the data given below: 4
Year: |
2000 |
2001 |
2002 |
2003 |
2004 |
2005 |
Sales: |
45 |
50 |
48 |
52 |
55 |
60 |
(3) What are the models used in time series
analysis? 3
Or
(b) (1) Explain cyclical variations in a time
series. How do seasonal variations differ from them? 2+2=4
(2) Calculate 3- yearly moving average from
the data given below: 4
Year: |
T1 |
T2 |
T3 |
T4 |
T5 |
T6 |
T7 |
T8 |
T9 |
Values: |
8 |
4 |
9 |
6 |
10 |
12 |
7 |
15 |
11 |
(3) What are the disadvantages of moving
average method? 3
7. (a) (1) Write a note on sampling error. 3
(2) What is simple random sampling? 2
Or
(b) (1) What do you mean by sampling
distribution? 2
(2) What are the merits of stratified random
sampling? 3
***
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