Question

Give difference between Karl Pearson’s and Bowley’s method for coefficient of skewness.​

Answer 1

Answer:

bowley skewnessBowley skewness is a way to figure out if you have a positively-skewed or negatively skewed distribution. One of the most popular ways to find skewness is the Pearson Mode Skewness formula. However, in order to use it you must know the mean, mode (or median) and standard deviation for your data. Sometimes you might not have that information; Instead you might have information about your quartiles. If that’s the case, you can use Bowley Skewness as an alternative to find out more about the asymmetry of your distribution. It’s very useful if you have extreme data values (outliers)or if you have an open-ended distribution.

Answer 2

Answer:

The distribution is skewed when one tail is longer than the other. The mean will either be lower or higher than the median in a skewed distribution. Either the left-hand side or the right-hand side of the distribution's tail will be longer. Two different forms of skewed distribution exist. skewness, both positive and negative. The distribution is positively skewed if the Coefficient of Skewness is larger than 0, and negatively skewed if the Coefficient of Skewness is less than 0.

Step-by-step explanation:

Step 1: According to statistics, skewness is the degree of deviation from a probability frequency distribution's symmetrical bell curve. The following are traits of a skewed distribution:

Step 2:The mean will either be lower or higher than the median in a skewed distribution.

Either the left-hand side or the right-hand side of the distribution's tail will be longer.

Step 3:There will be a difference between the third and first quartiles, but not between the second and first quartiles.

Step 4:The distribution is positively skewed if the coefficient of skewness is more than 0, and negatively skewed if the coefficient of skewness is less than 0.

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