RESEARCH METHODOLOGY

Detailed explanation-1: -Answer. Explanation: An outlier is a data point that significantly deviates from the other data values in a data set. It can be much greater (high outlier) or much less (low outlier) than the other data values, and it can have a significant impact on the overall statistics and analysis of the data set.

Detailed explanation-2: -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. Remember that an outlier will always be the minimum and/or maximum values.

Detailed explanation-3: -An outlier is an observation that lies an abnormal distance from other values in a random sample from a population. In a sense, this definition leaves it up to the analyst (or a consensus process) to decide what will be considered abnormal.

Detailed explanation-4: -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.