DB 1: Implications of Skewness
...Implications of Outliers on Distributions s Outliers are isolated values that are extremely high or low in relationto other values in the distribution. If outliers exist in a data set, the subsequent distribution will be skewed in the direction of the outliers. In any distribution, outliers tend to pull the measures of central tendency with them. Depending on the type of skewness, outliers can either pull up or drag down the mean. Extremely high values pull the mean up while very low values pull the mean down (ABS, 2013).
Outliers result in negatively or positively skewed distributions. Consider the following data set: 1,2,9,9,8, 9,10,10,10,11,11,11,12. The outliers in this set of data... of Outliers...