Answer:
Usually, the presence of an outlier indicates some sort of problem. This can be a case which does not fit the model under study, or an error in measurement. Outliers are often easy to spot in histograms.
Step-by-step explanation:
It is similar to a Bar Chart, but a histogram groups numbers into ranges
