BME100 f2013:W1200 Group13 L3

BME 100 Fall 2013	Home People Lab Write-Up 1 | Lab Write-Up 2 | Lab Write-Up 3 Lab Write-Up 4 | Lab Write-Up 5 | Lab Write-Up 6 Course Logistics For Instructors Photos Wiki Editing Help
OUR TEAM Joseph "T-Bone" Salerno Sam "Pinky" Brenna Briana "Thuglyfe" Ybarra Brenda "The Benda'" Vargas Scott "The Tank" Ashmore LAB 3A WRITE-UP Descriptive Statistics The Mean of the oral thermometer is 97.5661, and the Sensor had a mean of 96.13701. The difference between the two averages was 1.42909; so even though the sensor had errors and often times wasn't close to the oral thermometer temperature, overall there wasn't as much of a difference as one may expect. The standard deviation of the oral thermometer temperatures was 1.030571, and the sensor had a standard deviation of 1.640578. The oral thermometer is more centrally located around the mean because it has a smaller standard deviation; whereas the sensor has a greater standard deviation making it more spread out. The variance of the oral thermometer is 1.062077, and the variance of the sensor is 2.6915. Therefore it is easier to see that the sensor varies more, and is not as reliable as the regular oral thermometer. Results Analysis Since the t-test resulted in a P value of 8.048E-18, and it is significantly smaller than .05 which indicates that with a 95% confidence it can be claimed that there is a statistical difference between the sensor and oral thermometer results. The Pearsons R-Value for correlation is 0.021715 there is little correlation between the sensor and oral thermometer readings. Therefore, the sensor was inaccurate and unreliable. Summary/Discussion Both the oral and the sensor temperature readings vary in accuracy. They both reached a low minimum average in degrees Farenheit, which is unprobable in the conditions of the experiment. The temperature readings were not always probable or consistent in a controlled environment. Some design flaws of the sensor are that the sensor lost connection multiple times throughout the readings, the readings were mostly innacurate and unreliable, and the placement of the sensor under the armpit can be varied in multiple subjects, making the readings inaccurate. Since the p-value and the T-test is less than .05 there is a statistical difference. Also since the correlation value is less than 1, there is a weak correlation between the two devices. LAB 3B WRITE-UP Target Population and Need Device Design Inferential Statistics These inferential statistics support our claim that the Temperature Crown is substantially equivalent to a common thermometer. Our value from the t-test shows that there is no significant difference between the experimental data from the thermometer and the Temperature Crown. Our value for the Pearson's R-value show that there is direct correlation between the two sets of data, to a degree of ~99.9%. Graph