Positive skewness means that the frequencies in the distribution are spread:
on the right side of the centre of the curve
Positive skewness means that the tail of the distribution is stretched out towards the right side of the center, indicating more data points on the left side of the mean.
Similar Questions
If for a group of 20 items, ∑x = 1452, ∑x² = 144280 and mode = 63.7, then Pearsonian coefficient of skewness is equal to:
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:
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:
Important Questions from Measures of 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:
Which of the following is an absolute measure of skewness?
For a negatively skewed and platykurtic distribution:
If the distribution is negatively skewed then:
