Question

Can you identify an outlier by plotting a histogram

Answer 1

Step-by-step explanation:

Outliers are often easy to spot in histograms. For example, the point on the far left in the above figure is an outlier. A convenient definition of an outlier is a point which falls more than 1.5 times the interquartile range above the third quartile or below the first quartile.

Answer 2

Answer:

Histograms are a handy way to identify outliers. In an instant, you’ll see if there are any unusual values. If you identify potential outliers, investigate them. Are these data entry errors or do they represent observations that occurred under unusual conditions? Or, perhaps they are legitimate observations that accurately describe the variability in the study area.