Understanding Boxplots and Data Distribution

Understanding Boxplots and Data Distribution

Assessment

Interactive Video

Mathematics

6th - 8th Grade

Hard

Created by

Thomas White

FREE Resource

Mrs. Nelson guides sixth-grade students through creating and analyzing a box plot using a five-number summary. The lesson involves a study on blinking during video games, where students learn to identify the minimum, maximum, median, and quartiles. The video demonstrates constructing a dot plot and transforming it into a box plot, emphasizing the interquartile range and data distribution analysis.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main objective of the lesson on boxplots?

To understand how to use a five-number summary to draw a boxplot

To learn how to calculate the mean of a data set

To explore different types of graphs

To study the history of boxplots

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What was the data set used in the study about?

The number of times people blinked while watching a video game

The number of times people smiled during a movie

The number of times people yawned during a lecture

The number of times people laughed during a comedy show

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the median value in the given data set?

12

15

51

21

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which value represents the first quartile (Q1) in the data set?

3

12

15

21

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the maximum value in the data set?

51

12

21

3

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the interquartile range (IQR) represent in a boxplot?

The range of the entire data set

The middle 50% of the data

The average of the data set

The sum of all data points

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of the 'whiskers' in a boxplot?

To show the mean of the data

To indicate the range of the middle 50% of the data

To represent the minimum and maximum values

To display the mode of the data

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