RESEARCH METHODOLOGY

Detailed explanation-1: -An “outlier” or “extreme value” in a data set is a data point whose value is either much smaller or much larger than the majority of the data set. It is often possible to see, by looking at a data set or a graph of a data set, whether or not there are any potential outliers.

Detailed explanation-2: -Determining Outliers Multiplying the interquartile range (IQR) by 1.5 will give us a way to determine whether a certain value is an outlier. If we subtract 1.5 x IQR from the first quartile, any data values that are less than this number are considered outliers.

Detailed explanation-3: -A value that “lies outside” (is much smaller or larger than) most of the other values in a set of data. For example in the scores 25, 29, 3, 32, 85, 33, 27, 28 both 3 and 85 are “outliers".

Detailed explanation-4: -An outlier is a value that is much larger or smaller than the other values in a data set, or a value that lies outside the given data set. First, we need to order the data from least to greatest value, like this: 10, 19, 20, 21, 22, 22, 23, 24, 24, 25, 26, 26.