OBJECTIVE FORESTRY

Detailed explanation-1: –One way to define an outlier is o anything below Q1 – 1.5 IQR or… o above Q3 + 1.5 IQR. This is called the 1.5 x IQR rule. (Important).

Detailed explanation-2: -An outlier is an observation that appears to deviate markedly from other observations in the sample. Identification of potential outliers is important for the following reasons. An outlier may indicate bad data. For example, the data may have been coded incorrectly or an experiment may not have been run correctly.