If Mean > Median > Mode, then distribution is:
positively skewed
If the mean is greater than the median, which in turn is greater than the mode, the distribution is positively skewed.
Positive skewness means that the frequencies in the distribution are spread:
Which of the following is an absolute measure of skewness?
For a negatively skewed and platykurtic distribution:
If the distribution is negatively skewed then:
If median = 45, mean = 39.27, SD = 22.81, then the coefficient of Skewness is:
For a data set, the following information is obtained. If Q1 = 62, Q2 = 142 and Q3 = 195, then Bowley’s coefficient of skewness is:
In case of a moderately skewed frequency distribution, the mean is 50 and the median is 53. If the coefficient of variation is 20%, then the coefficient of skewness is:
For a symmetrical distribution, we have:
The mode of the given data set is 12. The sum of the frequencies on both sides of mode are 16. The skewness:
If the first, fifth and ninth decile of frequency distribution x i|f iare 3, 10, 16, respectively, then Kelly's coefficient of skewness is:
Positive skewness means that the frequencies in the distribution are spread:
Which of the following is an absolute measure of skewness?
For a negatively skewed and platykurtic distribution:
If the distribution is negatively skewed then:
If median = 45, mean = 39.27, SD = 22.81, then the coefficient of Skewness is: