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Bharathidasan University 2007 B.B.A BUSINESS STATISTICS - Question Paper

Friday, 18 January 2013 06:05Web

B.B.A.(Banking) DEGREE EXAMINATION, DECEMBER 2007.
BUSINESS STATISTICS
(2005 onwards)
Time : 3 hours Maximum : 100 marks
part A — (5 ? 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 : 5 15 30 8 2
4. Find the mean deviation from median and its coefficient from the subsequent data :
X : 10 11 12 13 14
Y : 3 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) : 2 5 7 13 21 16 8 3
11. Calculate the coefficient of skewness.
X : 0 1 2 3 4 5 6 7
Y : 12 27 29 19 8 4 1 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 : 1 5 4 8 9 6 10 7 3 2
Judge B : 4 8 7 6 5 9 10 3 2 1
Judge C : 6 7 8 1 5 10 9 2 3 4
14. Compute Fisher's ideal index from the subsequent data :

Item 2005 2006
Price Quantity Price Quantity
A 6 50 10 56
B 2 100 2 120
C 4 60 6 60
D 10 30 12 24
E 8 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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