Box and Whisker Plots

Front

What is a Box and Whisker Plot?

Back

A Box and Whisker Plot is a graphical representation of a dataset that displays its minimum, first quartile, median, third quartile, and maximum values.

Front

What does the 'box' in a Box and Whisker Plot represent?

Back

The 'box' represents the interquartile range (IQR), which contains the middle 50% of the data.

Front

What are quartiles in a Box and Whisker Plot?

Back

Quartiles are values that divide a dataset into four equal parts. The first quartile (Q1) is the median of the lower half, the second quartile (Q2) is the median of the dataset, and the third quartile (Q3) is the median of the upper half.

Front

How do you find the median in a Box and Whisker Plot?

Back

The median is the middle value of the dataset when it is ordered from least to greatest. In a Box and Whisker Plot, it is represented by a line inside the box.

Front

What is the purpose of the whiskers in a Box and Whisker Plot?

Back

The whiskers extend from the box to the minimum and maximum values of the dataset, showing the range of the data.

Front

How do you calculate the interquartile range (IQR)?

Back

The interquartile range (IQR) is calculated by subtracting the first quartile (Q1) from the third quartile (Q3): IQR = Q3 - Q1.

Front

What does a longer whisker indicate in a Box and Whisker Plot?

Back

A longer whisker indicates a greater spread in the data, meaning there is a larger range between the minimum or maximum value and the quartiles.

Front

What does it mean if a Box and Whisker Plot is skewed to the right?

Back

If a Box and Whisker Plot is skewed to the right, it means that the majority of the data points are concentrated on the left side, with a few higher values stretching the whisker to the right.

Front

What is the significance of outliers in a Box and Whisker Plot?

Back

Outliers are data points that fall significantly outside the range of the rest of the data. They are often represented as individual points beyond the whiskers.

Front

How can you identify outliers in a Box and Whisker Plot?

Back

Outliers can be identified as points that lie more than 1.5 times the interquartile range (IQR) above Q3 or below Q1.