BME100 f2013:W900 Group10 L3

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OUR TEAM Name: Barrett Anderies Name: Liam Williams Role(s) Name: student Role(s) Name: student Role(s) Name: student Role(s) Name: student Role(s) LAB 3A WRITE-UP Descriptive and Inferential Statistics For the experiment, two medical devices were utilized in the data collection of body temperature. The first device used was the RAIING Medical Company Wireless Thermometer (Model: WTM-BT30-T). The other medical device used was a normal oral thermometer to test the validity of results from the RAIING Wireless Thermometer. The data below represents the average, Standard deviation, Variance, end points, and standard errors of body temperature for each medical device labeled Oral and Sensor (RAIING Wireless Thermometer). Results Analysis Summary/Discussion T-Test: Analysis of the data with a t-test shows that there is a significant correlation between data. The p-value is well below 0.05 which is the maximum value to show significance. Pearson's r: Pearson's r coefficient shows that the data has little linear correlation. This implies that that, when compared with the readings from the accepted measurement device (oral thermometer), the sensor reports widely varying and inconsistent temperature readings showing how imprecise it was in reality. Trend Line: If the sensor were to report precise data, we would expect the slope of the trend line to be close to one. The slope of our trend line was closer to 0, indicating that the sensor does not report precise data. Standard Deviation: Because we took both control readings (stationary in consistent environment) and non-control readings (outside, moving, exercise, etc.) we would expect the data of each group to have some standard deviation. Furthermore, if both devices were to precisely report data, we would expect the standard deviation of both groups to be almost the same. This is not the case with our data, indicating that one device (in this case the sensor) reports data with more variation. Summary From all of our collected data from both the thermometer and RAIING we concluded that the sensor was not a reliable source for determining temperature. LAB 3B WRITE-UP Target Population and Need Device Design Inferential Statistics Graph