" /> -->

#### Introduction to Statistical Methods and Econometrics Model Question Paper 1

12th Standard EM

Reg.No. :
•
•
•
•
•
•

Economics

Time : 01:00:00 Hrs
Total Marks : 50
5 x 1 = 5
1. A measure of the strength of the linear relationship that exists between two variables is called:

(a)

Slope

(b)

Intercept

(c)

Correlation coefficient

(d)

Regression equation

2. If both variables X and Y increase or decrease simultaneously, then the coefficient of correlation will be:

(a)

Positive

(b)

Negative

(c)

Zero

(d)

One

3. The purpose of simple linear regression analysis is to:

(a)

Predict one variable from another variable

(b)

Replace points on a scatter diagram by a straight -line

(c)

Measure the degree to which two variables are linearly associated

(d)

Obtain the expected value of the independent random variable for a given value of the dependent variable

4. The raw materials of Econometrics are:

(a)

Data

(b)

Goods

(c)

Statistics

(d)

Mathematics

5. Evidence from history proves that during the reign of Chandra Gupta Maurya, there existed a system of maintaining ________.

(a)

vital statistics

(b)

descriptive statistics

(c)

inferential statistics

(d)

none of the above

6. 5 x 2 = 10
7. What is Statistics?

8. What are the kinds of data?

9. Define Correlation.

10. What are Nominal Data?

11. Write the meaning of Rank Data/

12. 5 x 3 = 15
13. What are the functions of Statistics?

14. Differentiate the economic model with econometric model.

15. Discuss the important statistical organizations (offices) in India.

16. List the wings of Programme Implementation.

17. List any of three scopes of statistics with explanation.

18. 4 x 5 = 20
19. Elucidatethe nature and scope of Statistics.

20. Describe the application of Econometrics in Economics.

21. What are the Steps involved in standard deviation calculation?

22. Compute the Pearson r for the same sets of data using the raw score method

 X 9, 13, 6, 18, 14, 12, 11, 7, 2, 6, 14, 15, 5, 8, Y 23, 40, 10, 48, 25, 30, 15, 10, 5, 45, 40, 35, 12, 27