RESEARCH METHODOLOGY

Detailed explanation-1: -Any observations that are more than 1.5 IQR below Q1 or more than 1.5 IQR above Q3 are considered outliers. This is the method that Minitab uses to identify outliers by default.

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: -Using the Interquartile Rule to Find Outliers Multiply the interquartile range (IQR) by 1.5 (a constant used to discern outliers). Add 1.5 x (IQR) to the third quartile. Any number greater than this is a suspected outlier.

Detailed explanation-4: -The 3(IQR) criterion tells us that any observation that is below 3.5 or above 70 is considered an extreme outlier. We therefore conclude that the observations with ages 74 and 80 should be flagged as extreme outliers in the distribution of ages.