Data Display Ticket Out the Door

Front

What is a box-and-whisker plot?

Back

A box-and-whisker plot is a graphical representation of data that shows the distribution of a dataset based on five summary statistics: minimum, first quartile (Q1), median (Q2), third quartile (Q3), and maximum.

Front

What does the upper quartile (Q3) represent in a dataset?

Back

The upper quartile (Q3) represents the value below which 75% of the data falls. It is the median of the upper half of the dataset.

Front

How do you find the median of a dataset?

Back

To find the median, arrange the data in numerical order and identify the middle value. If there is an even number of observations, the median is the average of the two middle values.

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). It measures the spread of the middle 50% of the data.

Front

How do you calculate the range of a dataset?

Back

The range is calculated by subtracting the minimum value from the maximum value in the dataset.

Front

What does a dot plot represent?

Back

A dot plot is a simple graphical display that uses dots to represent the frequency of data points in a dataset, allowing for easy visualization of distribution.

Front

What is the significance of the median in a dataset?

Back

The median is a measure of central tendency that indicates the middle value of a dataset, providing a better representation of the data when there are outliers.

Front

What is the difference between the median and the mean?

Back

The median is the middle value of a dataset, while the mean is the average of all values. The median is less affected by outliers than the mean.

Front

How can you interpret the IQR in terms of data variability?

Back

A larger IQR indicates greater variability in the middle 50% of the data, while a smaller IQR suggests that the data points are closer together.

Front

What does it mean if two datasets have the same IQR?

Back

If two datasets have the same IQR, it means that the spread of the middle 50% of the data is similar, but it does not indicate that the datasets are identical.