DISTANCE EDUCATION
B.B.A. (CS)/B.B.A. (Lateral) DEGREE EXAMINATION,
MAY 2016.
BUSINESS STATISTICS
(2005 onwards)
Time Three hours Maximum 100 marks
PART A — × 8 40 marks)
Answer any FIVE questions.
All questions carry equal marks.
1. Discuss the characteristics of statistics.
2. From the following data find the value of median
Heights 1200 1220 1240 1260 1280 1300
No.of students 50 70 90 60 40 100
3. Define standard deviation. List out its merits and
demerits.
4. Calculate Karl Pearson's coefficient of correlation from
the following data and interpret the value
x 100 101 102 102 100 99 97 98 96 95
y 98 99 99 97 95 92 95 94 90 91
5. Explain the different components of Time Series.
6. Using three year moving averages determine the trend
and short term fluctuation.
Year 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992
Production 21 22 23 25 24 22 25 26 27 26
Sub. Code
23
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7. Distinguish between symmetry and skewness.
8. Fit the trend line by the method of semi averages.
Year 1993 1994 1995 1996 1997 1998 1999 2000
Net profit
(Rs. lakhs)
38 39 41 43 40 39 35 25
PART B — × 15 60 marks)
Answer any FOUR questions.
All questions carry equal marks.
9. Explain the role of statistics in various field and list out
the scope of statistics in upcoming years.
10. Calculate the mean, median and mode of the following
data
Earnings 66-67 67-68 68-69 69-70 70-71 71-72
No. of persons 15 24 40 20 14 11
11. Calculate the mean deviation and standard deviation for
the following data
Age (years) 25-30 30-35 35-40 40-45 45-50 50-55
No. of workers 70 51 47 31 29 22
12. Calculate
Laspeyre's
Paasche's and
Fisher's ideal index number for the following data.
Items Base period Current period
Quantity Price Quantity Price
A 12 10 15 12
B 15 07 20 05
C 24 05 20 09
D 05 16 05 14
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13. Fit a straight line trend by the method of least squares to
the following data. Assuming the same rate of change
continues. What would be the predicted sales for the year
1988?
Year 1979 1980 1981 1982 1983 1984 1985 1986
Sales (Rs. Lakhs) 76 80 130 144 138 120 174 190
14. Explain the steps involved in the calculation of Kelly's
coefficient of skewness with example.
15. State and explain the various types of Index Numbers.