If the distribution is negatively skewed then:
Mean < Mode
In a negatively skewed distribution, the mean is typically less than the mode, which indicates that the left tail of the distribution is longer.
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 median = 45, mean = 39.27, SD = 22.81, then the coefficient of Skewness is:
If Mean > Median > Mode, then distribution 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 median = 45, mean = 39.27, SD = 22.81, then the coefficient of Skewness is:
If Mean > Median > Mode, then distribution is: