Lung Capacity Lab:

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Transcript Lung Capacity Lab:

Lung Capacity Lab:
Cardiovascular System
Materials:
Balloons
String
Rulers/meter sticks
Calculators
Procedure:
1. Blow up your balloon carefully to stretch the
balloon. Release the air.
2. Inhale as much air as possible and exhale it
into your balloon. Pinch off your balloon to
hold the air. If necessary, push your balloon
into a sphere.
3. Have your partner wrap the string around the
largest part of the balloon.
4. Measure this distance using the ruler or meter
stick.
5. Repeat for 5 trials.
Data Table:
Trial 1
Trial 2
Trial 3
Trial 4
Trial 5
(measure in cm)
Average Circumference:
Circumference = 2r x 3.14
Using the above formula solve for your average radius:____________
Volume of a sphere = 4/3 x 3.14 x r 3
Using the above formula find the volume of your “lungs”:_____________(ml)
This number is known as your MLC= Measured Lung Capacity ↑
Theoretical Lung Capacity:
1. My height in centimeters:______
2. My age in years:_______
3. Formula:
V = 0.041(height) – 0.018(age) -2.69
TLC= ________ x 1000 = ________mL
Analysis:
1. How does your measured lung capacity
compare with your theoretical lung
capacity? (MLC/TLC x 100)= %
2. Select a variable from the class data
(age, gender, height, weight, etc.)
3. Create a graph to show how the variable
is related to MLC.
4. Write a conclusion paragraph based on
the your groups data.
5. Participate in the class discussion.
Checklist of things to turn in:
 Individual Data Sheet:
 Individual Data Table (Slide 3)
 Calculations showing TLC and MLC (Slide 3 &4)
 Analysis Question #1 answered in complete sentence.
 Variable Analysis:
 Graph displaying variable and affect on MLC
 Conclusion Paragraph (#5, slide 5)
 Restate your purpose or objective. What two variables were you
looking for a relationship between?
 Analyze your data (what does your data say? why is your data the
way it is? are there any trends?)
 State two sources of error that occurred (or could have occurred) in
your lab
 What is your overall conclusion/summary of data? What
relationship is between the variables, if any?
 What did you learn from this lab?