Understanding Quartiles and Box Plots

Understanding Quartiles and Box Plots

Assessment

Interactive Video

Mathematics

6th - 7th Grade

Hard

Created by

Thomas White

FREE Resource

The video tutorial introduces students to box plots, explaining their components such as minimum, maximum, median, and quartiles. It provides a step-by-step guide to creating a box plot and discusses how variations in data distribution can affect the appearance of a box plot. The tutorial also covers the concept of interquartile range (IQR), explaining how it is calculated and its importance in understanding data spread.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does a box plot visually represent in a data set?

The smallest and largest values, median, and quartiles

Only the median

Only the quartiles

Only the smallest and largest values

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the first step in creating a box plot from a dot plot?

Identifying the minimum and maximum values

Calculating the interquartile range

Drawing the box

Finding the median

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do you determine the median in a data set?

By counting the total number of data points

By subtracting the smallest number from the largest

By finding the middle number after sorting the data

By averaging all numbers

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the first quartile in a data set?

The smallest value

The largest value

The middle of the lower half of data

The middle of the upper half of data

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does it mean if a box plot appears uneven?

The median is incorrect

The data is skewed or heavier on one side

The data is evenly distributed

The data is incorrect

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the interquartile range (IQR)?

The sum of the quartiles

The difference between the upper and lower quartiles

The average of the quartiles

The range of the entire data set

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is the interquartile range important?

It calculates the average of the data set

It identifies the smallest and largest values

It indicates the spread of the middle 50% of data

It shows the total number of data points

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