Real World Data Lab A Lab in Data Analysis and Peer Review Listen to this Animal.
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Transcript of Real World Data Lab A Lab in Data Analysis and Peer Review Listen to this Animal.
![Page 1: Real World Data Lab A Lab in Data Analysis and Peer Review Listen to this Animal.](https://reader036.fdocuments.in/reader036/viewer/2022083009/5697bff31a28abf838cbc468/html5/thumbnails/1.jpg)
Real World Data LabA Lab in Data Analysis and Peer Review
Listen to this Animal
![Page 2: Real World Data Lab A Lab in Data Analysis and Peer Review Listen to this Animal.](https://reader036.fdocuments.in/reader036/viewer/2022083009/5697bff31a28abf838cbc468/html5/thumbnails/2.jpg)
What does Data Analysis mean or require?
Data – anything that is observed using the senses
Analysis – uses mathematics, statistics, logic to make sense of the data - mathematics, statistics, logic shows how the data can support a “claim” or not support the “claim”
Peer Review – process by which procedures and results of an experiment are evaluated by other scientists
![Page 3: Real World Data Lab A Lab in Data Analysis and Peer Review Listen to this Animal.](https://reader036.fdocuments.in/reader036/viewer/2022083009/5697bff31a28abf838cbc468/html5/thumbnails/3.jpg)
Today, you will do peer review and use math, graphing and a little bit of algebra to support another’s student claim.
Guiding Question: Can temperature be predicted by counting cricket chirps?
Analysis:1. Calculate chirps/15
sec2. Plot number of
chirps/15 sec versus temperature (F0)
3. Graph the data4. Draw a best fit line
Claim: Air temperature can be estimated by adding the number 40 to the number of cricket chirps per 15 seconds Re-evaluate the Claim:
Use equation of line to support or not support claim
![Page 4: Real World Data Lab A Lab in Data Analysis and Peer Review Listen to this Animal.](https://reader036.fdocuments.in/reader036/viewer/2022083009/5697bff31a28abf838cbc468/html5/thumbnails/4.jpg)
Graphing Reminders1. Title2. Label for x-axis3. Unit for x-axis4. Label for y-axis5. Unit for y-axis6. Appropriate Scale for x
and y axis7. Take up as much of
graph area as possible8. Clear plot point9. Neatness10. Straight line best fit
Can you find all the reminders on the above graph?
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Let’s do the lab!1. Read the lab information2. Complete Critical Thinking Questions #1-2-33. Use a ruler to draw the Line-of-Best Fit4. Hand in a graph with title and name on it
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How to use an equation of a line to support or not support the claim: Temperature = # chirps/15 seconds +40. Follow the steps below to determine y=mx + b.
1. Write the equation of a line: y=mx+b2. The slope of the line (m) tells the steepness of the line. Calculate the slope of the line by using the points from the line-of best fit you created. Look at the graph and find the two * points. x2-x1 is (30,70) y2-y1 is (50,90)
m= y2-y1/x2-x1 = 90-70/50-30 = 20/20 = 1
m=13. Use the value for m=1 and the one of the * points to solve for “b” and complete solving for the equation of the line.
y=mx+b70 = 1 (30) + b 70 = 30 + bb=40
4. Write the claim in the equation of the line format: Temperature = 1(#chirps/15sec) + 40
5. Pick a corresponding # chirps/15 sec and temperature from the data . Plug in and see if the equation is true.
75 degrees F = 1 (35) + 40 Since the equation is true, the claim can be supported. Try others.