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Chapters
2: National Income
3: Theories of Employment and Income
4: Consumption and Investment Functions
5: Monetary Economics
6: Banking
7: International Economics
8: International Economic Organisations
9: Fiscal Economics
10: Environmental Economics
11: Economics of Development and Planning
▶ 12: Introduction to Statistical Methods and Econometrics
![Samacheer Kalvi solutions for Economics [English] Class 12 TN Board chapter 12 - Introduction to Statistical Methods and Econometrics - Shaalaa.com](/images/economics-english-class-12-tn-board_6:5f2b1b2038084cf381bfa42c826a928c.jpg "Samacheer Kalvi solutions for Economics [English] Class 12 TN Board chapter 12 - Introduction to Statistical Methods and Econometrics")
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Solutions for Chapter 12: Introduction to Statistical Methods and Econometrics
Below listed, you can find solutions for Chapter 12 of Tamil Nadu Board of Secondary Education Samacheer Kalvi for Economics [English] Class 12 TN Board.
Samacheer Kalvi solutions for Economics [English] Class 12 TN Board 12 Introduction to Statistical Methods and Econometrics Model Questions [Pages 278 - 281]
Part A - Multiple choice questions
The word ‘statistics’ is used as _____.
Singular
Plural
Singular and Plural
None of above
Who stated that statistics is a science of estimates and probabilities.
Horace Secrist
R.A Fisher
Ya-Lun-Chou
Boddington
Sources of secondary data are _________.
Published sources
Unpublished sources
neither published nor unpublished sources
Both (A) and (B)
The data collected by questionnaires are__________.
Primary data
Secondary data
Published data
Grouped data
A measure of the strength of the linear relationship that exists between two variables is called:
Slope
Intercept
Correlation coefficient
Regression equation
If both variables X and Y increase or decrease simultaneously, then the coefficient of correlation will be:
Positive
Negative
Zero
One
If the points on the scatter diagram indicate that as one variable increases the other variable tends to decrease the value of r will be:
Perfect positive
Perfect negative
Negative
Zero
The value of the coefficient of correlation r lies between:
0 and 1
-1 and 0
-1 and +1
-0.5 and +0.5
The term regression was used by:
Newton
Pearson
Spearman
Galton
The purpose of simple linear regression analysis is to:
Predict one variable from another variable
Replace points on a scatter diagram with a straight-line
Measure the degree to which two variables are linearly associated
Obtain the expected value of the independent random variable for a given value of the dependent variable
A process by which we estimate the value of dependent variable on the basis of one or more independent variables is called:
Correlation
Regression
Residual
Slope
If Y = 2 - 0.2X, then the value of the Y-intercept is equal to ______.
-0.2
2
0.2X
All of the above
In the regression equation Y = β0 +β1 X, the Y is called:
Independent variable
Dependent variable
Continuous variable
none of the above
In the regression equation Y = β0 +β1 X, the X is called:
Independent variable
Dependent variable
Continuous variable
none of the above
Econometrics is the integration of ______.
Economics and Statistics
Economics and Mathematics
Economics, Mathematics, and Statistics
None of the above
Econometric is the word coined by ______.
Francis Galton
Ragnar Frisch
Karl Person
Spearsman
The raw materials of Econometrics are:
Data
Goods
Statistics
Mathematics
The term Uiin regression equation is a ______.
Residuals
Standard error
Stochastic error term
none
The term Uiis introduced for the representation of ______.
Omitted Variables
Standard error
Bias
Discrete Variable
Econometrics is the amalgamation of ______.
3 subjects
4 subjects
2 subjects
5 subjects
Part B - Answer the following in one or two sentences
What is Statistics?
What are the kinds of Statistics?
What do you mean by Inferential Statistics?
What are the kinds of data?
Define Correlation.
Define Regression.
What is Econometrics?
Part C - Answer the following questions in one paragraph
What are the functions of Statistics?
Find the Standard Deviation of the following data: 14, 22, 9, 15, 20, 17, 12, 11.
State and explain the different kinds of Correlation.
Mention the uses of Regression Analysis.
Specify the objectives of econometrics.
Differentiate the economic model with the econometric model.
Discuss the important statistical organizations (offices) in India.
Part D - Answer the following questions
Elucidate the nature and scope of Statistics.
Calculate the Karl Pearson Correlation Co-efficient for the following data:
| Demand for Product X : | 23 | 27 | 28 | 29 |
30 |
31 | 33 | 35 | 36 | 39 |
| Sale of Product Y: | 18 | 22 | 23 | 24 | 25 | 26 | 28 | 29 | 30 | 32 |
Find the regression equation Y on X and X on Y for the following data:
| Y | 45 | 48 | 50 | 55 | 65 | 70 | 75 | 72 | 80 | 85 |
| X | 25 | 30 | 35 | 30 | 40 | 50 | 45 | 55 | 60 | 65 |
Describe the application of Econometrics in Economics.
Solutions for 12: Introduction to Statistical Methods and Econometrics
Samacheer Kalvi solutions for Economics [English] Class 12 TN Board chapter 12 - Introduction to Statistical Methods and Econometrics
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Concepts covered in Economics [English] Class 12 TN Board chapter 12 Introduction to Statistical Methods and Econometrics are Etymology and Milestones of Statistics in Global Level, Evolution of Statistics in India, Definitions of Statistics, Nature of Statistics, Characteristics and Functions of Statistics, Scope of Statistics for Economics, Limitations of Statistics, Types of Statistics, Data, Arithmetic Mean or Mean, Standard Deviation, Correlation, Regression, Introduction to Econometrics, Official Statistics.
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