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# Bharathidasan University 2005 B.B.A Business Statistics - Question Paper

Friday, 18 January 2013 05:10Web

Time:Three hours Maximum:100 marks

part A—(5 x eight = 40 marks)
ans any 5 of the subsequent.

All ques. carry equal marks.

1.Mention the uses of statistics in different fields.

2.Narrate the characteristics of a good avg..

3.Calculate the median from the subsequent data :
Marks:0–20 20–40 40–60 60–80 80–100
No.of students: five 15 30 eight 2

4.Find the mean deviation from median and its coefficient from the subsequent data :
X : 10 11 12 13 14
Y : three 12 18 12 3

5.Define skewness. discuss different measures.

6.What is rank correlation? State its merits.

7.What are the characteristics of index number?

8.What do you mean by interpolation?

part B—(4 × 15 = 60 marks)
ans any 4 of the subsequent

All ques. carry equal marks.

9.(a) The mean height of 25 male workers in a factory is 61 inches and the mean height of 35 female workers in the identical factory is 58 inches. obtain the combined mean height of
60 workers in the factory.
(b)The mean marks of 100 students were obtained to be 40. Later on, it was discovered that a score of 53 was misread as 83. obtain the accurate mean corresponding to the accurate score.

10.Find the standard deviation for the subsequent distribution :
Variable (V) : 0–5 5–10 10–15 15–20 20–25 25–30 30–35 35–40
Frequency (f) : two five seven 13 21 16 eight 3

11.Calculate the coefficient of skewness.
X : 0 one two three four five six 7
Y : 12 27 29 19 eight four one 0

12.Define correlation. discuss its kinds.

13.In a competition the ranks of 3 judges are as follows. Decide which pair have closest approach (use rank correlation).
Judge A : one five four eight nine six 10 seven three 2
Judge B : four eight seven six five nine 10 three two 1
Judge C : six seven eight one five 10 nine two three 4

14.Compute Fisher's ideal index from the subsequent data :

Item 2005 2006
Price volume Price volume
A six 50 10 56
B two 100 two 120
C four 60 six 60
D 10 30 12 24
E eight 40 12 36
15. Fit a straight line pattern by the method of lowest squares for the subsequent data and estimate the earnings for the year 2008.
Year : 1999 2000 2001 2002 2003 2004 2005 2006
Earnings (in crores) : 38 40 65 72 69 60 87 95

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