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F.Y.B.COM Mathematical MCQ PDF , Mathematical and Statistical Techniques F.Y.B.COM MCQ

 

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F.Y.B.COM Mathematical MCQ PDF , Mathematical and Statistical Techniques F.Y.B.COM MCQ

1. Coefficient of correlation explains
…………………….of the relationship between two variables.

a. Degree

b. Direction

c. Both of the above

d. None of the above

ANSWERS: C

 

2. For perfect correlation, the coefficient of
correlation should be ……………………..

a. ± 1

b. + 1

c. – 1

d. 0

ANSWERS: A

 

3. Rank correlation coefficient was discovered
by………………………………

a. Fisher

b. Spearman

c. Karl Pearson

d. Bowley

ANSWERS: B

 

4. The rank correlation coefficient is
always……………………….

a. + 1

b. – 1

c. 0

d. Between + 1 and – 1

ANSWERS: D

 

5. Spearman’s Rank Correlation Coefficient is
usually denoted by………………..

a. k

b. r

c. S

d. R

ANSWERS: D

 

6. Probable error is used to:

a. Test the reliability of correlation coefficient

b. Measure the error in correlation coefficient

c. Both a an b

d. None of these

ANSWERS: A

 

7. If coefficient of correlation is more than
…………….of its P E, correlation is significant.

a. 2 times

b. 5 times

c. 6 times

d. 10 times

ANSWERS: C

 

8. In correlation analysis, Probable Error =
…………………… x 0.6745

a. Standard deviation

b. Standard error

c. Coefficient of correlation

d. None of these

ANSWERS: B

 

9. Coefficient of concurrent deviation depends
on …………………..

a. The signs of the deviations

b. The magnitude of the deviations

c. Bothe a and b

d. None of these

ANSWERS: A

 

10. Correlation analysis between two sets of
data only is called………………..

a. Partial correlation

b. Multiple correlation

c. Nonsense correlation

d. Simple correlation

ANSWERS: D

 

11. Correlation analysis between one dependent
variable with one independent variable by keeping the other independent
variables as constant is called………………….

a. Partial correlation

b. Multiple correlation

c. Nonsense correlation

d. Simple correlation

ANSWERS: A

 

12. Study of correlation among three or more
variables simultaneously is called………….

a. Partial correlation

b. Multiple correlation

c. Nonsense correlation

d. Simple correlation

ANSWERS: B

 

13. If r = 0.8, coefficient of determination
is……………………………….

a. 80%

b. 8%

c. 64%

d. 0.8%

ANSWERS: C

 

14. If r is the simple correlation coefficient,
the quantity r2 is known as ……………….

a. Coefficient of determination

b. Coefficient of non-determination

c. Coefficient of alienation

d. None of these

ANSWERS: A

 

15. If r is the simple correlation coefficient,
the quantity 1 — r2 is known as ……………….

a. Coefficient of determination

b. Coefficient of non-determination

c. Coefficient of alienation

d. None of these

ANSWERS: B

 

16. The term regression was first used
by……………………..

a. Karl Pearson

b. Spearman

c. R A Fisher

d. Francis Galton

ANSWERS:D

 

17. ………………..refers to analysis of
average relationship between two variables to 
provide mechanism for prediction.

a. Correlation

b. Regression

c. Standard error

d. None of these

ANSWERS:B

 

18. If there are two variables, there can be at
most…………………………. number of 
regression lines.

a. One

b. Two

c. Three

d. Infinite

ANSWERS: B

 

19. If the regression line is Y on X, then the
variable X is known as……………………..

a. Independent variable

b. Explanatory variable

c. Regressor

d. All the above

ANSWERS: D

 

20. Regression line is also called……………………………

a. Estimating equation

b. Prediction equation

c. Line of average relationship

d. All the above

ANSWERS: D

 

21. If the regression line is X on Y, then the
variable X is known as……………………..

a. Dependent variable

b. Explained variable

c. Both a and b

d. Regressor

ANSWERS: C

 

22. If the regression line is X on Y, then the
variable X is known as……………………..

a. Dependent variable

b. Independent variable

c. Bothe a and b

d. None of the above

ANSWERS: A

 

23. If the regression line is Y on X, then the
variable X is known as……………………..

a. Dependent variable

b. Independent variable

c. Both a and b

d. None of the above

ANSWERS: D

 

24. The point of intersection of two regression
lines is……………………..

a. (0,0)

b. (1,1)

c. (x,y)

d. (x̄, ӯ)

ANSWERS: D

 

25. If r = ± 1, the two regression lines
are………………………….

a. Coincident

b. Parallel

c. Perpendicular to each other

d. None of these

ANSWERS: A

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