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.
If for a group of 20 items, ∑x = 1452, ∑x² = 144280 and mode = 63.7, then Pearsonian coefficient of skewness is equal to:
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:
Which one of the following statements is true?
If for a group of 20 items, ∑x = 1452, ∑x² = 144280 and mode = 63.7, then Pearsonian coefficient of skewness is equal to:
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: