Boxplots

Front

What is a boxplot?

Back

A boxplot is a graphical representation of a dataset that displays its minimum, first quartile (Q1), median, third quartile (Q3), and maximum values, providing a visual summary of the distribution.

Front

What does IQR stand for?

Back

IQR stands for Interquartile Range, which is the difference between the first quartile (Q1) and the third quartile (Q3) in a dataset.

Front

How do you calculate the IQR?

Back

To calculate the IQR, subtract the first quartile (Q1) from the third quartile (Q3): IQR = Q3 - Q1.

Front

What does a boxplot indicate about outliers?

Back

A boxplot indicates outliers as points that fall below Q1 - 1.5*IQR or above Q3 + 1.5*IQR.

Front

What is the median in a dataset?

Back

The median is the middle value of a dataset when it is ordered from least to greatest. If there is an even number of observations, the median is the average of the two middle numbers.

Front

How do you find the median of an even set of numbers?

Back

To find the median of an even set of numbers, arrange the numbers in order and calculate the average of the two middle numbers.

Front

What does the term 'quartiles' refer to?

Back

Quartiles are values that divide a dataset into four equal parts, with Q1 being the first quartile, Q2 the median, and Q3 the third quartile.

Front

What is the purpose of a boxplot?

Back

The purpose of a boxplot is to provide a visual summary of the distribution of a dataset, highlighting its central tendency, variability, and potential outliers.

Front

What is the range of a dataset?

Back

The range of a dataset is the difference between the maximum and minimum values.

Front

How can you identify outliers using a boxplot?

Back

Outliers can be identified in a boxplot as points that lie outside the whiskers, which extend to Q1 - 1.5*IQR and Q3 + 1.5*IQR.