- Type
- Quiz
- Course
- STA301 Statistics and Probability
- Size
- PDF 1.8 MB
- Updated
- 23 Oct 2026
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A. Symmetrical B. Negatively skewed
C. Positively skewed
D. Zero skewed
Find the mean of the values 2,4 ,7,8,9
A. 6
B. 5 C. 3 D. 30
For a positively skewed distribution median is ……………. To/than the mid quartile range A. None of the above B. Equal C. Greater
D. Less
Which of the following measures based on all observations?
Correct answer: Mean deviation and Standard deviation
The mean of a distribution is 25, the mode is 25 and the standard deviation is 5, then the coefficient of skewness will be: A. Less than zero B. None of the above C. Greater than zero
D. Equal to zero
Dividing mean deviation by mean we get a pure number known as A. Co-efficient of quartile deviation
B. Co-efficient of mean deviation
C. None of the above D. Co-efficient
If coefficient of skewness is equal to “0” then distribution will be: A. Positively skewed
B. Symmetrical
C. Negatively skewed D. Asymmetrical
Bowley’s coefficient of skewness is expressed in terms of: A. Square of units B. Different units C. Same units
D. Independent of units
When the peak of the curve becomes relatively high, it is called: A. Hetrokurtic B. Platykurtic C. Mesokurtic
D. Leptokurtic
For a symmetrical data set mean value is 150 and standard deviation 25. 68% values will lie between
A. (125,175)
B. (110,190) C. (100,200) D. (125,180)
First moment about origin is always equal to:
A. Mean
B. Standard Deviation C. Variance D. Zero
For a particular data set the Pearson’s coefficient of skewness is greater then zero. What will be the shape of distribution?
Correct answer: Positively Skewed
In a left skewed distribution:
A. Xm-Q3 greater than Q1-X0
B. Xm-Q3 less and equal to Q1-X0 C. Xm-Q3 less than Q1-X0 D. Xm-Q3 greater and equal to Q1-X0
Which of the rule gives no information about the probability of observing a value within one standard deviation of the mean?
Correct answer: Chebychev’s rule
If in a simple linear regression model it is assumed that the intercept parameter is equal to 0: A. The slope of the line will also be equal to 0 B. The regression line will pass through the point (0,10)
C. The regression line will pass through the origin
D. The regression line will pass through the point (0,-10)
Pearson’s coefficient of skewness cannot be used when standard deviation is:
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