Plotting Data: IM 8.6.2
[url=https://im.kendallhunt.com/MS/teachers/3/6/2/preparation.html]“Plotting Data”[/url] from IM Grade 8 by [url=https://www.geogebra.org/m/gus8ffvr]Open Up Resources[/url] and Illustrative Mathematics. Licensed under the [url=https://creativecommons.org/licenses/by/4.0/]Creative Commons Attribution 4.0 license[/url].
Table of Contents
- Lesson 8.6.2
- IM 8.6.2 Lesson: Plotting Data
- Practice 8.6.2
- IM 8.6.2 Practice: Plotting Data
IM 8.6.2 Lesson: Plotting Data
Lin surveyed 30 students about the longest time they had ever run. Andre asked them about their favorite color.
[size=150][size=100]How could Lin and Andre represent their data sets?[/size][/size]
[size=150][size=100]Would they represent them in the same way? Why or why not?[/size][/size]
Are older students always taller? Do taller students tend to have bigger hands? To investigate these questions, the class will gather data.
[list][*]A person’s [i]arm span[/i] is the distance between the tips of their index fingers, when their arms are fully spread out.[/*][*]A person’s [i]hand span[/i] is the distance from the tip of their thumb to the tip of their little finger, when their fingers are fully spread out.[/*][/list]Each partner should measure the other partner’s height, arm span, and hand span for their right hand to the nearest centimeter.
Record your partner’s measurements and age (in months) in this table. Then, record this data from your table in a table of data for the entire class.
What types of graphical representations could be used to show the class’s height measurements?
Make a graphical representation of the class’s height measurements using these directions for the applet:
[list][*]Enter the class height data in column A. Note: enter only one value in each cell, just the height of each student.[/*][*]Click on the column header to highlight it.[/*][*]Select the One-Variable Analysis tool (the one that looks like a histogram), and a new frame will appear.[/*][*]Drag the window open and you will see a histogram of the data.[/*][*]Change the type of graph by choosing from the drop-down menu.[/*][/list]
[size=150]Make a scatter plot of the heights and hand spans of each student in your class. Enter the class height data into one column and the corresponding hand span data into the other column. The points will appear on the graph as you type them in.[br]To see more of the graph after you have entered in the data, you can use:[br][icon]/images/ggb/toolbar/mode_translateview.png[/icon][br][icon]/images/ggb/toolbar/mode_zoomout.png[/icon][/size]
Based on your scatter plot, answer these questions:
Do taller students in your class tend to have bigger hands? Explain how you know.
Is hand span a linear function of height? Explain how you know.[br]
Although the data may be accurate, displaying the data incorrectly can tell the wrong story. What is wrong with each of these graphic representations of the data?
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[/img]
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[/img]
IM 8.6.2 Practice: Plotting Data
In hockey, a player gets credited with a “point” in their statistics when they get an assist or goal. The table shows the number of assists and number of points for 15 hockey players after a season.
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[/img]
Make a scatter plot of this data. Make sure to scale and label the axes.
[size=150]Select [b]all [/b]the representations that are appropriate for comparing bite strength to weight for different carnivores.[/size]
[size=150]When is it better to use a table? [/size]
[size=150]When is it better to use a scatter plot?[/size]
[size=150]There are many cylinders with radius 6 meters. Let [math]h[/math] represent the height in meters and [math]V[/math] represent the volume in cubic meters.[/size][br][br]Write an equation that represents the volume [math]V[/math] as a function of the height [math]h[/math].
Sketch the graph of the function, using 3.14 as an approximation for π.
If you double the height of a cylinder, what happens to the volume? Explain this using the equation.
If you multiply the height of a cylinder by [math]\frac{1}{3}[/math], what happens to the volume? Explain this using the graph you created above.