Exam Details
Subject | business statistics | |
Paper | ||
Exam / Course | b.b.a. business administration | |
Department | ||
Organization | alagappa university | |
Position | ||
Exam Date | November, 2017 | |
City, State | tamil nadu, karaikudi |
Question Paper
B.B.A. DEGREE EXAMINATION, NOVEMBER 2017
Third Semester
Business Administration
BUSINESS STATISTICS
(CBCS 2014 onwards)
Time 3 Hours Maximum 75 Marks
Part A (10 x 2 20)
Answer all questions.
1. Define pie diagram.
2. What are Ogive curves?
3. What is an average?
4. State the relationship between AM, HM and GM.
5. What are the measures of variation?
6. Define standard deviation.
7. When will you say that two variables are correlated?
8. What are the uses of Regression lines?
9. State any two uses of index numbers.
10. How is time series used as a forecasting technique?
Sub. Code
4BBA3C2
AFF-4388
2
WS3
Part B x 5 25)
Answer all questions, choosing either or
11. State the limitations of statistics.
Or
Draw a Histogram for the following data:
No. of calls: 40-50 50-60 60-70 70-80 80-90 90-100 100-110
No. of booths: 35 80 120 155 130 95 50
12. Define Median. What are its advantages and
disadvantages?
Or
Calculate the mode of the following frequency
distribution.
Wages 0-1000 1000-2000 2000-3000 4000-5000
No. of
Employees
3 12 40 41
Wages 6000-7000 7000-8000 8000-9000 9000-1000
No. of
Employees
27 13 9 4
13. Distinguish between absolute and relative measures
of dispersion.
Or
Calculate the Mean Deviation from the following
data.
Class 0-10 10-20 20-30 30-40 40-50 50-60 60-70 70-80
Frequency 5 8 12 15 20 14 12 6
AFF-4388
3
WS3
14. Calculate the Karl Pearson's coefficient of
Correlation.
15 20 25 30 35 40
12 18 25 24 20 21
Or
Write a note on Regression Analysis.
15. What are Cost of Living Index Numbers? How are
they calculated?
Or
Based on the given data, fit a trend using the
Method of Least Squares.
X 2006 2007 2008 2009 2010
Y 470 255 293 385 530
Part C x 10 30)
Answer any three questions.
16. Explain with examples one dimensional and two
dimensional diagrams.
17. Calculate Arithmetic mean from the following data.
Variable 10-13 13-16 16-19 19-22 22-25 25-28 28-31 31-34 34-37 37-40
Frequency 8 15 27 51 75 54 36 18 9 7
18. Find the Quartile Deviation from the following data.
X 0-10 10-20 20-30 30-40 40-50
Y 22 38 46 35 20
AFF-4388
4
WS3
19. Describe the different types of correlation.
20. From the following data calculate price index numbers for
2010 with 2000 as base by:
Laspeyre's Method
Pasche's Method and
Fisher's Ideal Method
Commodity 2000 2010
Price Quantity Price Quantity
W 25 8 41 6
X 51 10 63 5
Y 42 15 52 15
Z 23 20 25 25
————————
Third Semester
Business Administration
BUSINESS STATISTICS
(CBCS 2014 onwards)
Time 3 Hours Maximum 75 Marks
Part A (10 x 2 20)
Answer all questions.
1. Define pie diagram.
2. What are Ogive curves?
3. What is an average?
4. State the relationship between AM, HM and GM.
5. What are the measures of variation?
6. Define standard deviation.
7. When will you say that two variables are correlated?
8. What are the uses of Regression lines?
9. State any two uses of index numbers.
10. How is time series used as a forecasting technique?
Sub. Code
4BBA3C2
AFF-4388
2
WS3
Part B x 5 25)
Answer all questions, choosing either or
11. State the limitations of statistics.
Or
Draw a Histogram for the following data:
No. of calls: 40-50 50-60 60-70 70-80 80-90 90-100 100-110
No. of booths: 35 80 120 155 130 95 50
12. Define Median. What are its advantages and
disadvantages?
Or
Calculate the mode of the following frequency
distribution.
Wages 0-1000 1000-2000 2000-3000 4000-5000
No. of
Employees
3 12 40 41
Wages 6000-7000 7000-8000 8000-9000 9000-1000
No. of
Employees
27 13 9 4
13. Distinguish between absolute and relative measures
of dispersion.
Or
Calculate the Mean Deviation from the following
data.
Class 0-10 10-20 20-30 30-40 40-50 50-60 60-70 70-80
Frequency 5 8 12 15 20 14 12 6
AFF-4388
3
WS3
14. Calculate the Karl Pearson's coefficient of
Correlation.
15 20 25 30 35 40
12 18 25 24 20 21
Or
Write a note on Regression Analysis.
15. What are Cost of Living Index Numbers? How are
they calculated?
Or
Based on the given data, fit a trend using the
Method of Least Squares.
X 2006 2007 2008 2009 2010
Y 470 255 293 385 530
Part C x 10 30)
Answer any three questions.
16. Explain with examples one dimensional and two
dimensional diagrams.
17. Calculate Arithmetic mean from the following data.
Variable 10-13 13-16 16-19 19-22 22-25 25-28 28-31 31-34 34-37 37-40
Frequency 8 15 27 51 75 54 36 18 9 7
18. Find the Quartile Deviation from the following data.
X 0-10 10-20 20-30 30-40 40-50
Y 22 38 46 35 20
AFF-4388
4
WS3
19. Describe the different types of correlation.
20. From the following data calculate price index numbers for
2010 with 2000 as base by:
Laspeyre's Method
Pasche's Method and
Fisher's Ideal Method
Commodity 2000 2010
Price Quantity Price Quantity
W 25 8 41 6
X 51 10 63 5
Y 42 15 52 15
Z 23 20 25 25
————————
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- business law
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- computer application package
- computer applications in business
- cost accounting
- elective – insurance management
- elective – retail management
- elective — customer relationship management
- elective — rural marketing
- elective — services marketing
- elective — tourism management
- environment of business
- financial accounting
- financial management
- international marketing
- investment management
- management accounting
- marketing management
- marketing research
- operations management
- organisational behaviour
- principles of management