Business Economics-I B.A Model Question Papers : alagappauniversity.ac.in

Name of the University : Alagappa University
Degree : B.A
Department : Economics
Subject Code/Name : Business Economics-I
Semester : I
Document Type : Model Question Papers
Website : alagappauniversity.ac.in

Download Model/Sample Question Paper : APRIL 2011 : https://www.pdfquestion.in/uploads/alagappauniversity.ac.in/3959.-B.B.E..pdf

Alagappa Business Economics—I Question Paper

Section A :
1. What is meant by Business Economics –
2. What are the scope of Business Economics –
3. What is Consumer Surplus –

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4. What is Utility –
5. Define Income Demand.
6. What are the measurement of elasticity of demand –
7. State the factors determining elasticity of demand.
8. What are the properties of Indifference Curve –
9. What is demand forecasting –
10. What do you mean by production function –
11. Mention the concept of law of production.
12. Explain the objectives of a Business firm.
13. Describe the law of equi–marginal utility.
14. Explain the Law of demand.
15. Explain the types of elasticity of demand.
16. What are the importance of Short – run and Long – run forecasting –
17. Explain the Laws of Production.
18. Describe the role and responsibilities of a Business Economist.
19. Explain the law of diminishing marginal utility.
20. Explain the criteria of a Good Forecasting technique.
21. Explain the Laws of Return to scale.

Section B :
1. Define Statistics. Explain the characteristics of Statistics.
2. Bring out the limitations of Statistics.
3. Describe the significance of sampling.
4. What is secondary data –
5. How will you prepare a table –
6. Discuss different methods of classification.
7. What are the tools required for making diagram –
8. From the given information, compute harmonic mean.
9. What is harmonic mean –
10. How will you plan a statistical survey –
11. Define Kurtosis. What does it measure –
12. Discuss the nature and scope of statistics.
13. What is primary data – Explain the methods of
14. Describe the different types of graphs.
15. Compute Quartile deviation and its coefficient from the
16. Calculate Karl Pearson’s coefficient of skewness for the
17. Compute Geometric Mean from the following :
18. Describe the different methods of sampling. Write down
19. Find the mean, median and mode from the following data.
20. Calculate a suitable measure of skewness for the
21. Find the mean and standard deviation of the following data :

Section c :
1. What is fixed cost – Give examples.
2. Define Selling Cost.
3. Give the meaning of normal price.
4. State the law of supply.
5. Mention any three features of monopoly
6. What is Oligopoly –
7. What is monopolistic competition –
8. State the two conditions for price discrimination.
9. What is Price leadership –
10. Define price rigidity.rks.
12. Bring out the relationship between Average cost and Marginal cost.
13. Draw supply curve and supply schedule with an
14. Point out the features of perfect competition.
15. What are wastes of monopolistic competition –
16. Discuss the pattern of behaviour of oligopoly markets.
17. Outline the objectives of pricing.
18. Show diagrammatically the nature of short run and
19. Explain price and output determination under monopoly.
20. Critically examine kinked demand curve analysis.
21. Discuss in detail of any five pricing methods .

Business Statistics—II

(Non-CBCS—2004 onwards)
Time : 3 Hours
Maximum : 100 Marks
Section A (8 × 3 = 24)
Answer any eight questions.
1. What is Rank correlation ?
2. Explain the term correlation.
3. What is Regression ?
4. What is a Scatter diagram ? State its uses.
5. What is an Index Number ?
6. Write any three properties of regression lines.
7. Explain the uses of time series.
8. Explain cyclical variations.
9. Explain the terms association and disassociation.
10. Write and explain Fischer’s formula for ideal index number.
11. Mention the types of correlation.

Section B (3 × 12 = 36)
Answer any three questions.
12. Calculate Pearson’s coefficient of correlation from the following data :
X : 45 55 56 58 60 65 68 70 75 80 85
Y: 56 50 48 60 62 64 65 70 74 82 90

13. The ranks of 10 students is two subjects, Accountancy and Auditing are as follows :
Accountancy : 3 5 8 4 7 10 2 1 6 9
Auditing : 6 4 9 8 1 2 3 10 5 7
What is the coefficient of rank correlation ?

14. The two equations for the regression lines are :
10x – 5y + 22 = 0
5x – 6y + 5 = 0
Compute (a) means of X and Y (b) correlation coefficient between X and Y.

15. Fit a straight line trend to the following data by least squares method and obtain the trend values. Also find an estimate for the year 1997 :
Year : 1989 1990 1991 1992 1993 1994 Production
(000 tonnes) : 12 13 13 16 19 23 1995 1996 21 23