Understanding Boxplots and Their Features

Understanding Boxplots and Their Features

Assessment

Interactive Video

Mathematics

6th - 7th Grade

Hard

Created by

Patricia Brown

FREE Resource

This lesson covers the basics of boxplots, a graphical representation using a number line and a five-number summary to show data distribution. It explains the components of a boxplot, including quartiles and outliers, and discusses the limitations of boxplots, such as the inability to determine mean or mode. The lesson also covers how to identify outliers using the IQR and describes the symmetry and skewness of data. Finally, it provides methods to calculate measures of spread like range and IQR.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary purpose of a boxplot?

To calculate the mean of a dataset

To determine the mode of a dataset

To visualize the distribution of data

To list all individual data points

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is NOT a limitation of a boxplot?

Inability to determine the mean

Inability to count total data points

Inability to determine the mode

Inability to visualize data distribution

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the blue dot represent in a boxplot?

The maximum value

The third quartile

The minimum value

The median value

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How is an outlier represented in a boxplot?

As a shaded area

As an asterisk

As a line

As a colored dot

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What indicates a skew to the left in a boxplot?

The right whisker is longer

The left whisker is longer

Both whiskers are equal

The box is centered

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which quartile is synonymous with the median?

First quartile

Second quartile

Third quartile

Fourth quartile

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do you determine if a value is an outlier in a boxplot?

By checking if it is below the minimum

By checking if it is above the maximum

By using 1.5 times the IQR added to Q3

By comparing it to the median

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