Exploring Line Plots with Fractions

This video tutorial explains how to create and interpret line plots involving fractional data. It begins with organizing survey data on shoe sizes, setting up a number line, and plotting the data accurately. The tutorial also covers interpreting the line plot by answering questions about the data, such as identifying the most common shoe size and the number of adults surveyed. The video aims to help viewers understand the process of creating and analyzing line plots with fractional data.

What is the first step in organizing data for a line plot?

• Determining the number of people surveyed

• Sorting data from least to greatest

• Creating X marks

• Labeling the number line

What is the smallest shoe size recorded in the survey?

• Size 9.5

• Size 9

• Size 8.5

• Size 8

Why is it important to start the number line with the smallest data value?

• To make the plot look better

• To save space

• To ensure all data is included

• It is not important

What is the purpose of labeling the number line in a line plot?

• To indicate the data type

• To make it colorful

• To show the number of X's

• None of the above

Why is it unnecessary to extend the number line beyond the largest data value?

• All of the above

• To focus on relevant data

• To save ink

• To avoid confusion

What does each 'X' represent on the line plot?

• A pair of shoes

• A surveyed adult

• A shoe size

• A fraction

How many adults were surveyed according to the line plot?

• 10 adults

• 11 adults

• 12 adults

• 13 adults

Which shoe size was most common among the surveyed adults?

• Size 11

• Size 8.5

• Size 9

• Size 10

How many adults wear a shoe size of 10 or larger?

• 7 adults

• 6 adults

• 8 adults

• 5 adults

How many adults wear a shoe size less than 10?

• 5 adults

• 4 adults

• 6 adults

• 3 adults