Understanding Box Plots

Understanding Box Plots

Assessment

Interactive Video

Mathematics

6th - 7th Grade

Hard

Created by

Jennifer Brown

FREE Resource

10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the role of the whiskers in a box plot?

They connect the minimum and maximum to the quartiles.

They represent the median of the data.

They indicate the mode of the data.

They show the mean of the data.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can you tell if a box plot is symmetrical?

By observing if both sides of the box and whiskers are approximately equal.

By ensuring the whiskers are of different lengths.

By confirming the box is skewed to the right.

By checking if the median is at the extreme left.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why can't the mean be calculated from a box plot?

Because the box plot does not show the range.

Because the box plot is only for categorical data.

Because the exact data points are not visible.

Because the box plot only shows the median.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the range of a data set in a box plot?

The average of all data points.

The difference between the first and third quartiles.

The sum of the minimum and maximum values.

The difference between the maximum and minimum values.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How is the interquartile range (IQR) calculated in a box plot?

By subtracting the minimum from the maximum.

By subtracting the first quartile from the third quartile.

By adding the first and third quartiles.

By dividing the range by two.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does a larger interquartile range indicate about a data set?

The data is more concentrated.

The data has more variability.

The data is symmetrical.

The data has fewer outliers.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In comparing two box plots, what does a longer box indicate?

A higher median.

A smaller range.

A greater number of data points.

A larger variability in the data.

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