Understanding Outliers and Visualizing Data Distributions with Box Plots

Outliers are clearly presented in a _____________. a) Dot plot. b) Stem-and-leaf display. c) Box plot. d) Contingency table

The correct answer is c) Box plot

The correct answer is c) Box plot.

Outliers are values that significantly deviate from the rest of the data in a dataset. They can be extremely high or extremely low values that are far away from the majority of the data points.

Box plots are a type of graphical representation that displays the distribution of a dataset. They provide a visual summary of the minimum, first quartile, median, third quartile, and maximum values of the dataset. Additionally, box plots can also show any outliers that exist in the data.

In a box plot, the numerical data is divided into quartiles, and a rectangle (the box) is drawn to represent the middle 50% of the data. The median is represented by a line within the box. The “whiskers” extend from the box to the minimum and maximum values of the dataset. If any data points fall outside the whiskers, they are displayed as individual points, indicating that they are considered outliers.

So, box plots are an effective way to clearly present outliers in a dataset.

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