BME100 f2017:Group7 W0800 L3

BME 100 Fall 2017	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 Name: Wesley Groves Name: Miguel Almanza Name: Michael Zou Name: Sayyed Ourmazd Mohseni Name: Abdulmonem Alshammari Name: Your name LAB 3 WRITE-UP Descriptive Stats and Graph Heart Rate: Gold Standard Mean: 98.08976898 Gold Standard Standard Deviation: 23.03054395 Spree Mean: 98.95379538 Spree Standard Deviation: 24.97753802 Pearson r Value: 0.690806489 Temperature: Gold Standard Mean: 96.647 Gold Standard Std. Deviation: 1.9226 Spree Mean: 95.531 Spree Standard Deviation: 0.87038 Pearson r value: 0.19280 Inferential Stats Heart Rate: T-test value: 0.427116193 Temperature: T-test: 1.0968 x 10^(-21) Summaries of Statistical Analyses Based on the statistical analysis of the heart rate data, there is a high possibility that both devices perform the same. The difference in values recorded by both devices is insignificant in this context due to the fact that the t-test results showed a p-value of higher than 0.05. The statistical analyses performed for the temperature data said were shown to be significant. The Gold Standard device showed a higher variance than the Spree device, which demonstrates a more precise mechanism of measuring temperature. The paired t-test that was run for this data set demonstrated an extremely low p-value. Such a low p-value indicated statistical significance among these data points. Design Flaws and Recommendations One design flaw for this hypothetical experiment was that the body temperature was being taken with an oral thermometer. This method of reading body temperature is not the most accurate way to achieve this data. There are other internal thermometers that would provide a more accurate reading such as an esophageal thermometer. The subjects should have been more closely monitored. The subjects could have tampered with any of the sensors in a way that would make them show invalid data. In the data itself, there were a few blank spaces without readings as well as questionable readings (0 heartrate). Making sure the subjects did not accidentally or purposely tamper with the devices may have made the data more reliable. Also, there were a few outliers in the data set. Specifically, there was a point where the measurement was 0. This indicates that there may have been an error when transcribing / gathering data which will reduce the reliability of the Experimental Design of Own Device The experimental design for our device would consist of a large sample of patients who suffer from asthmatic symptoms and severe allergic reactions and also a significant number of people who do not suffer from these health problems as a reference for our data. These patients will be tested against our device and a gold standard for respiratory and cardiac information. Upon acquiring all the data we will calculate the mean and standard deviation to have an accurate perspective of our data. We will use that data to determine the Pearson r value. Then we will use the t-test to verify that our p value is greater than .05, showing that there is no significant difference between the data gathered from our device and the gold standard. This is what we would want ideally since we want our sensors to be as accurate as what’s already in the market.