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Bharathiar University 2007 Bachelor of Computer Science (B Level) BCS Business Statistics BCS 307 - Question Paper

Sunday, 24 March 2013 08:45Web

BCS Business Statistics BCS 307 May 2007
Time : 3 hours Maximum : 100 marks
PART A — (5 ? eight = 40 marks)
ans any 5 ques..
1. What are the steps in planning a statistical survey?
2. Explain briefly the 4 kinds of classification.
3. What are the requisites of tabulation?
4. What are the requisites of an average?
5. The expenditure of 10 families in Rupees is provided beneath.
Family A B C D E F G H I J
Expenditure 30 70 10 75 500 8 42 250 40 36
compute the arithmetic mean by short cut method.
6. Calculate the mode.
Central value 70 90 110 130 150
Frequency 43 78 83 125 87
7. Fit a straight line pattern to the subsequent time series.
Year 1990 1991 1992 1993 1994 1995
Production 72 75 74 78 83 82
8. From the subsequent data, compute cost of residing index number.
Item A B C D E F
volume (1997) 50 100 40 10 20 30
Price Rs. (1997) 20 25 18 5 30 40
Price Rs. (2002) 25 30 20 7 35 50
PART B — (4 ? 15 = 60 marks)
ans any 4 ques..
All ques. carry equal marks.
9. What are the various methods of sampling?
10. Clearly discuss the difference ranging from collection of data through questionnaires and schedules.
11. Distinguish ranging from Primary data and Secondary data. elaborate the precautions necessary before using Secondary data?
12. Using 4 yearly moving averages, compute the pattern values and short term fluctuations:
Year 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990
Production 464 515 518 467 502 540 557 571 586 612
13. Calculate the arithmetic mean, median and mode from the subsequent data.
Value (More than) : 0 50 100 150 200 250
Frequency : 83 75 60 30 13 4
14. Calculate the 2 regression equations from the subsequent data
X 10 12 13 12 16 15
Y 40 38 43 45 37 43
Also estimate Y when X =20.
15. Calculate the coefficient of correlation ranging from Expenditure on Advertisement in Rs. ‘000 (X) and Sales in
Rs. Lakhs (Y) after allowing a time lag of 2 months.
Mon Jan Feb Mar Apr May June July Aug Sep Oct
X 40 45 47 50 53 60 57 51 48 45
Y 75 69 65 64 70 71 75 83 90 92




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