Algebra 1
Activity- Piecewise Linear Functions
Test Grade
Name:____________________________________
Date:_____________________________________
______/24=_____%
Objective:
To apply piecewise functions to evaluate real-world situations.
You will need to access the following websites, in order:
Warm-up:
http://seeingmath.concord.org/Interactive_docs/PLG_Warmup.htm
PLG:
http://seeingmath.concord.org/dev_applets/publish/resource_files/Piecewise.html
FAQ (if needed)
http://seeingmath.concord.org/Interactive_docs/PLG_UsersGuide.htm
Activity:
http://seeingmath.concord.org/Interactive_docs/PLG_Activity.pdf
Rubric: Each question will be rated on a scale of 0-3.
0 This response is either incoherent, irrelevant, or contains many computational errors. Appropriate
diagrams are excluded.
1 This response is essentially correct but contains no supporting or relevant information. Appropriate
diagrams are either missing or are incorrect.
2 This response is almost perfect but contains only minor errors. Appropriate diagrams are included.
3 Perfect response. All answers are correct and supported appropriately. Responses are thoughtful and use
proper vocabulary. Appropriate diagrams are included.
Note: Final submission should be typed using TNR size 12. Please email your final responses to
tcann290@gmail.com no later than midnight on Friday February 18, 2011.
It may be more convenient to type your responses into the following table rather than the .pdf document.
Cell Zone Recommendation Sheet
Client name:
Client cell phone needs:
How many minutes per month is the client likely to use?
What type of minutes will the client use most often? (Peak, night and
weekend, long distance, roaming, etc.)
Recommendation to client (include your reasons and your warnings):
Data and calculations (numeric, symbolic, and/or graphic) that support our
recommendation: (insert any graphs in this area)
REVISED Recommendation Sheet
Client name:
Client cell phone needs:
How many minutes per month is the client likely to use?
What type of minutes will the client use most often? (Peak, night and
weekend, long distance, roaming, etc.)
Recommendation to client (include your reasons and your warnings):
Data and calculations (numeric, symbolic, and/or graphic) that support our
recommendation: (insert any graphs in this area)