1. It refers to the lack of symmetry in distribution.
A. Variance
B. Skewness
C. Kurtosis
D. Spread
2. Which of the following is false statement for skewness?
A. Skewness refers to the lack of symmetry in distribution.
B. The measure of skewness tells us the direction of dispersion about the center of the distribution.
C. A balanced pattern of a distribution is called asymmetrical distribution
D. None of the above
3. An unbalanced pattern of distribution is called
A. Asymmetrical distribution
B. Symmetrical distribution
C. Both (a) and (b)
D. Neither (a) nor (b)
4. In this case the value of mean, median and mode coincide
A. Symmetrical Distribution
B. Positively Skewed Distribution
C. Negatively Skewed Distribution
D. None of the above
5. Which of the following are true for skewness in a given distribution?
A. The mean, median, and mode are not identical
B. The total of deviations is not zero from median or mode
C. Frequencies on both sides of the mode are not equal
D. All of the above
6. Which of the following are methods for measuring the coefficient of skewness?
A. Karl Pearsons coefficient of skewness
B. Bowley’s coefficient of skewness
C. Both (a) and (b)
D. Neither (a) nor (b)
7. This co-efficient of skewness, is obtained by dividing the difference between the mean and the mode by the standard deviation
A. Bowley’s coefficient of skewness
B. Karl Pearsons coefficient of skewness
C. Both (a) and (b)
D. Neither (a) nor (b)
8. Which of the following statement is not true for Bowley’s coefficient of skewness?
A. It is derived from quartile values
B. It is useful in case of open-ended distribution
C. It takes all the items of the data into account
D. It is also termed as Quartile Co-efficient of skewness
9. The curve for this distribution is bell shaped
A. Negatively skewed distribution
B. Positively skewed distribution
C. Symmetrical distribution
D. All of the above
10. For Positively Skewed distribution
A. Mean > Median > Mode
B. Dispersal of individual observations is greater towards the right of the central value
C. A longer tail towards the right hand side of the center of distribution
D. All of the above
11. If change in one variable results a corresponding change in the other variable, then the variables are…………………….
A. Correlated
B. Not correlated
C. Any of the above
D. None of the above
12. When the correlation is only studied between two variables it is called
A. Simple Correlation
B. Positive Correlation
C. Multiple Correlation
D. Negative Correlation
13. Correlation analysis is a…………………………
A. Univariate Analysis
B. Bivariate Analysis
C. Multivariate Analysis
D. Both (b) and (c)
14. Multiple correlation is
A. When the correlation is only studied between four variables
B. When the correlation is studied between three or more variable
C. When the correlation is only studied between two variables
D. When the correlation is only studied between three variables
15. If the ratio of change between the two variables is a constant then there will be
A. Linear correlation
B. Non-linear correlation
C. Positive Correlation
D. Negative correlation
16. ………………………attempts to determine the degree of relationship between variables.
A. Regression analysis
B. Correlation analysis
C. Inferential analysis
D. None of these
17. Non-linear correlation is also called……………………………….
A. Non-curvy linear correlation
B. Curvy linear correlation
C. Zero correlation
D. None of these
18. Two variables are said to be positively correlated when with ………………. in the value of one variable, the value of other variable also …………………..
A. Fall, Rises
B. Fall, Falls
C. No change, Rises
D. Rise, Falls
19. The techniques which provide the decision maker a systematic and powerful means of analysis to explore policies for achieving predetermined goals are called……………………..
A. Correlation techniques
B. Mathematical techniques
C. Quantitative techniques
D. None of the above
20. Following are the elements of correlation except
A. There should be three or more variables
B. There should be only curvilinear relations among variables
C. There should be relationship among them
D. The change in the value of one affects another.