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 (Q1), median, third quartile (Q3), and maximum values.

Front

What do the 'whiskers' in a Box and Whisker Plot represent?

Back

The 'whiskers' in a Box and Whisker Plot represent the range of the data, extending from the minimum value to the first quartile (Q1) and from the third quartile (Q3) to the maximum value.

Front

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

Back

The median represents the middle value of the dataset, dividing it into two equal halves.

Front

How do you find the lower quartile (Q1) in a dataset?

Back

The lower quartile (Q1) is the median of the lower half of the dataset, excluding the overall median if the number of data points is odd.

Front

How do you find the upper quartile (Q3) in a dataset?

Back

The upper quartile (Q3) is the median of the upper half of the dataset, excluding the overall median if the number of data points is odd.

Front

What is the interquartile range (IQR)?

Back

The interquartile range (IQR) is the difference between the upper quartile (Q3) and the lower quartile (Q1), representing the range of the middle 50% of the data.

Front

What does a Box and Whisker Plot tell you about the distribution of data?

Back

A Box and Whisker Plot provides insights into the central tendency, variability, and skewness of the data distribution.

Front

What are outliers in the context of Box and Whisker Plots?

Back

Outliers are data points that fall significantly outside the range defined by the whiskers, often determined using the IQR.

Front

How can you identify outliers using the IQR?

Back

Outliers can be identified by calculating Q1 - 1.5 * IQR and Q3 + 1.5 * IQR; any data points outside this range are considered outliers.

Front

What is the significance of the minimum and maximum values in a Box and Whisker Plot?

Back

The minimum and maximum values indicate the lowest and highest data points in the dataset, respectively.