Exploring Box and Whisker Plots and 5 Number Summaries

Exploring Box and Whisker Plots and 5 Number Summaries

Assessment

Interactive Video

Mathematics

6th - 8th Grade

Hard

Created by

Amelia Wright

FREE Resource

This video tutorial introduces box and whisker plots, also known as box plots, and explains how to create and analyze them using a five number summary. The five number summary includes the lower extreme, lower quartile, median, upper quartile, and upper extreme. The tutorial provides step-by-step instructions for organizing data, finding these five numbers, and plotting them to create a box and whisker plot. It also covers how to interpret the plots, including understanding quartiles and identifying outliers. The video concludes with practice problems for independent learning.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is another name for box and whisker plots?

Box plots

Histograms

Pie charts

Scatter plots

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the first component of the five-number summary?

Median

Mode

Lower extreme

Upper quartile

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How is the lower quartile determined in a data set?

Average of all numbers

Middle number of the upper half

Middle number of the lower half

Smallest number in the set

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the median in a box and whisker plot?

Average of all data points

Middle value of the dataset

Sum of all data points divided by their count

Largest data point

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do you find the upper quartile in a list of numbers?

Middle number of the upper half

Middle number of the lower half

Largest number in the set

Average of all numbers

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the box in a box plot represent?

Lower 25% of the data

Middle 50% of the data

Upper 25% of the data

Total range of data

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does a longer whisker in a box plot indicate?

Less data variability

More data points

Greater data spread

Higher data accuracy

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