How to Identify and Interpret Outliers in a Box Plot | A Comprehensive Guide

Outliers are clearly presented in a___A) Dot plotB) Stem-and-leaf displayC) Box plotD) Contingency table

C) Box plot

Outliers are clearly presented in a box plot

C) Box plot

Outliers are clearly presented in a box plot.

A box plot is a graphical representation of a dataset that displays the minimum, first quartile, median, third quartile, and maximum values of a numerical variable. It also shows any outliers that are present in the dataset.

An outlier is a data point that significantly deviates from the rest of the data. It is either unusually high or low compared to the other values in the dataset. When constructing a box plot, outliers are typically represented as individual points that are located outside the whiskers of the plot.

More Answers:
Understanding Skewness in Probability Distributions | When the Coefficient of Skewness is Zero
Understanding Measures of Central Tendency | Median, Mode, and Mean
Improving Understanding of Interquartile Range | Definition and Application in Statistics

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