Roll
No.
Total
No. of Questions : 07
BBA (Sem.–3rd)
BUSINESS STATISTICS
Subject Code : BB-304
Paper ID : [C0216]
Time
: 3 Hrs.
INSTRUCTION
TO CANDIDATES :
1. Section –A,
is Compulsory.
2. Attempt any
four questions from Section-B.
Section –A
1.
a) Define multiple bar diagrams
b)
Show that the weighted arithmetic mean of the square of 10 natural numbers whose weights are equal to the corresponding
numbers is equal to 55.
c)
Find out harmonic mean of following individual series 10, 20, 30, 40, 60, 120
d)
Differentiate between Correlation and Regression.
e)
What is index number? What are its types
f) A
can solve 90% of the problems of a book and B can solve 70%. What is the
probability that at least one of them will solve a problem selected at random.
g)
Two random variables have the regression equations 3 2 26, 6 31 x y xy
find out mean
values of x and y.
h)
Find S. D. of set of observations which are all equal.
i)
Write Components of Time Series.
j)
Calculate co-efficient of correlation when Covariance of x and y is 488 and
variance of x is 824 and variance of y is 325.
SECTION – B
2. The median
and mode of the following wage distribution are known to be Rs. 33.5 and Rs. 34
respectively. Three frequency values from the table are however missing. Find
out the missing frequencies when sum of frequencies is 230.
Wages (Rs.) : 0-10 10-20 20-30 30-40 40-50 50-60 60-70
No. of persons : 4 16 — — —
6 4
3.
Calculate S. D. and its Coefficient from following data.
Classes 0-5
5-10
10-20 20-30 30-40
40-60
Frequency
4 8 10
15 9
7
Unit - II
4. From the
following data, calculate coefficient of correlation between the age of
students and their playing habits.
Age (yrs.)
15 16
17 18 19 20
No. of Student 250 200 150
120 100 80
Regular players 200 150 90
48 30 12
5. Give two
regression equations x y x y 2 5, 2 3 8 and variance of x 12 calculate variance
of y, coefficient of correlation between x and y. Also estimate y when x 1
Unit - III
6. Below are
given the production figures (in thousand quintals) of sugar factory. Fit
a straight line trend and plot the
figures on graph.
Year 1981
1982 1983
1984
1985 1986 1987
Production in 80 90 92 83 94
99 92
ooo quintals)
7. Calculate
Fisher's ideal index number for following data and show that it satisfies (1)
Time Reversal Test and (11) Factor Reversal test.
Base year
|
Current year
|
||||
Commodity
|
Price
|
Quantity
|
Price
|
Quantity
|
|
A
|
65
|
500
|
108
|
560
|
|
B
|
28
|
124
|
29
|
148
|
|
C
|
47
|
69
|
82
|
87
|
|
D
|
109
|
38
|
134
|
24
|
|
E
|
86
|
49
|
108
|
17
|
|
Unit - IV
8. A husband
and wife appear in an interview for two vacancies in the same post. The probability of husband's selection is 1and
that of wife's selection is , What is the probability that
a)
at least one of them is selected
b)
both of them are selected
c)
only one of them will be selected
d)
None of them will be selected
9.
Explain the following terms
i)
Mutually exclusive and equally likely events
ii)
Independent and dependent events
iii)
Simple and compound events.
iv)
Exhaustive and Complementary events.
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