Relative Measure of Skewness MCQ (Multiple Choice Questions) PDF Download

If for a distribution the difference of first quartile and median is greater than difference of median and third quartile then the distribution is classified as

1. absolute open ended
2. positively skewed
3. negatively skewed
4. not skewed at all

If the first quartile and third quartile are as 32 and 35 respectively with the median of 20 then distribution is skewed to

1. lower tail
2. upper tail
3. close end tail
4. open end tail

The method of calculating skewness which is based on the positions of quartiles and median in a distribution is called

1. Gary's coefficient of skewness
2. Sharma's coefficient of skewness
3. Bowley's coefficient of skewness
4. Jack Karl's coefficient of skewness

The median of a moderately skewed distribution is 8, third quartile is 12, first quartile is 8 and inter-quartile range is 4 then relative coefficient of skewness is

1. ±8
2. ±1
3. ±9
4. ±11

For the Karl Pearson's skewness coefficient the value of skewness must be in limits

1. ±3
2. ±5
3. ±4
4. ±2