Activity 1: Boyle's Law

with the Observe Pressure Sensor

and Desmos Graphing Calculator

Status: disconnected
What You Will Do: Getting Ready:
Video Thumbnail
What Do You Think?
  1. Observe the motion of the particles in the simulation below and how they impact the inside of the syringe. Imagine a handful of tiny pebbles hitting your hand in a similar way. What would you feel from all of those impacts?
  2. Click the syringe's minus (-) button to reduce the volume the particles move within and observe the effect on the impact rate of the particles.
  3. Repeat reducing the volume by 2 mL and allowing the impact rate to settle. Imagine what a graph with volume on the horizontal axis and impact rate on the vertical axis would look like.
  4. 20 mL Collisions = 0.00 Impacts/cm²/s
  5. Use your mouse to click and drag on the graph to draw your prediction. If you need to start over, click Erase Drawing. When you are satisfied, click Capture Drawing to copy the image to the clipboard and paste it into the Boyle's Law worksheet and answer the related questions.
  6. Background Image
Data Collection
(0, —)
Analyzing Your Data:
  1. Based on your experience from the simulation, do you think the relationship between pressure and volume is direct or indirect? How would you mathematically express these two relationships?
  2. Build your mathematical model using Least-squares regression.
    • Press the + button in the upper left of the Desmos table and select Expression.
    • Build a model that predicts the pressure (P) for a given volume (V). Use the tilde symbol to apply the Desmos regression feature.
    • If you think a direct relationship is best, enter:
    • direct relationship
    • Otherwise, if you think an indirect relationship is best, enter:
    • indirect relationship
  3. Test your model by predicting the value of pressure when the volume is 25 mL. Since 25 is larger than any value in the data set, this process is known as extrapolation.
  4. Use the slope (m) and y-intercept (b) from your regression equation to make a prediction by substituting 25 mL into the model.
  5. Plot the predicted point on your graph and judge how well the point fits the model.
  6. For a linear model, enter:
  7. linear prediction
  8. For an inverse model, enter:
  9. inverse prediction
Going Further:
  1. Try repeating the above steps to test an interpolated prediction using your regression model.
  2. Use Desmos to display the residuals (click the plot icon under “RESIDUALS”) for your model. What patterns do you notice? What does this tell you about how well the model fits the data?
  3. Try Activity 3: Temperature and Molecular Motion to learn more about statistical models and molecular motion.