Docsity
Docsity

Prepare for your exams
Prepare for your exams

Study with the several resources on Docsity


Earn points to download
Earn points to download

Earn points by helping other students or get them with a premium plan


Guidelines and tips
Guidelines and tips

Data Analysis and Graphing of Pressure and Voltage Experiment - Prof. Anthony Duva, Lab Reports of Mechanical Engineering

A data analysis and graphing project for a pressure and voltage experiment. The student is required to calculate statistical values for various pressure and voltage measurements, develop tables and graphs, and compare results to a calibration curve from omega. Questions at the end ask for analysis of errors and comparison of calibration curves.

Typology: Lab Reports

Pre 2010

Uploaded on 08/16/2009

koofers-user-rj5
koofers-user-rj5 🇺🇸

10 documents

1 / 1

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
Data analysis 40 pts
1. Develop a table of the statistical value for the true mean with 95% confidence
interval for each plateau both upward and downward. (2 Tables)
2. Develop a ±3σ range of expected measurements for each plateau up and down. (2
Tables)
3. Develop a statistical value for the true mean atmospheric pressure with 95%
confidence interval. Compare this value to the barometer reading in the thermo
lab.
4. Develop a statistical value for the true mean of the pressure induced by the weight
of the piston.
5. Develop a linear regression analysis of the entire data population for voltage (y-
axis) vs. applied pressure (x-axis) (linear curve fit to data)
6. Develop upper and lower limit lines based on a 95% confidence interval for both
slope and offset.
7. Using our calibration device and linear regression curve, compare the values of
pressure obtained with theoretically applying loads of .5-5 kg in .5 kg increments
to the calibration curve obtained from Omega.
8. Calculate the %error of the derived curve to the Omega curve as follows:
Graphs 40 pts
1. Plot all the raw data both upward and downward on a zero error plot for measured
voltage vs. applied pressure (data points only).
2. Show the upper and lower range of expected value curves based on the linear
regression analysis. (plot upper and lower offset curves)
3. Plot the expected voltage from both the linear regression curve develop in the lab
with the theoretical curve from Omega using the data from #7 above.
4. Plot the % error obtained from the comparison of experimental to Omega data.
Concluding Questions 20pts
1. Did you observe differences in the error depending on the direction the weights
were applied? If so why?
2. How well did your calibration curve compare to the one supplied by Omega?
3. Characterize the errors in comparing the two curves such as bias, accuracy,
precision etc.
4. What was the difference in measured pressure due to the weight of the piston?
5. What type of error does this introduce into the pressure measurement.

Partial preview of the text

Download Data Analysis and Graphing of Pressure and Voltage Experiment - Prof. Anthony Duva and more Lab Reports Mechanical Engineering in PDF only on Docsity!

Data analysis 40 pts

  1. Develop a table of the statistical value for the true mean with 95% confidence interval for each plateau both upward and downward. (2 Tables)
  2. Develop a ±3σ range of expected measurements for each plateau up and down. ( Tables)
  3. Develop a statistical value for the true mean atmospheric pressure with 95% confidence interval. Compare this value to the barometer reading in the thermo lab.
  4. Develop a statistical value for the true mean of the pressure induced by the weight of the piston.
  5. Develop a linear regression analysis of the entire data population for voltage (y- axis) vs. applied pressure (x-axis) (linear curve fit to data)
  6. Develop upper and lower limit lines based on a 95% confidence interval for both slope and offset.
  7. Using our calibration device and linear regression curve, compare the values of pressure obtained with theoretically applying loads of .5-5 kg in .5 kg increments to the calibration curve obtained from Omega.
  8. Calculate the %error of the derived curve to the Omega curve as follows:

Graphs 40 pts

  1. Plot all the raw data both upward and downward on a zero error plot for measured voltage vs. applied pressure (data points only).
  2. Show the upper and lower range of expected value curves based on the linear regression analysis. (plot upper and lower offset curves)
  3. Plot the expected voltage from both the linear regression curve develop in the lab with the theoretical curve from Omega using the data from #7 above.
  4. Plot the % error obtained from the comparison of experimental to Omega data.

Concluding Questions 20pts

  1. Did you observe differences in the error depending on the direction the weights were applied? If so why?
  2. How well did your calibration curve compare to the one supplied by Omega?
  3. Characterize the errors in comparing the two curves such as bias, accuracy, precision etc.
  4. What was the difference in measured pressure due to the weight of the piston?
  5. What type of error does this introduce into the pressure measurement.