BME100 f2017:Group5 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: Anna Hoge Name: Anu Pal Name: Joey Gurule Name: Savina Plougmann Name: Curran McGraw LAB 3 WRITE-UP Descriptive Stats and Graph Heart Rate Mean, GS: 97.235 Mean, Spree: 98.958 STD, GS: 22.837 STD, Spree: 24.878 Pearson's Correlation Coefficient: 0.725 Temperature Mean, GS: 96.63 Mean, Spree: 95.47 STD, GS: 1.99 STD, Spree: 0.86 Pearson's Correlation Coefficient: 0.189 Inferential Stats and Analysis Heart Rate Paired, two-tailed T test: 0.0937 Temperature Paired, two-tailed T test: essentially 0 For our heart rate data, the mean of gold standard was 97.23, while the mean for Spree was 98.95 beats per minute. We had about 300 data points for each group. The standard deviations for each group were between 22 and 25 beats per minute (there was a greater standard deviation in heart rate data than in temperature data because our subjects went walking, which increased their heart heart significantly, but not their temperature), so the average and variability of each group was roughly similar. Our 2-tailed T Test (we used 2 tailed since one person was used to test both Gold Standard and Spree technologies) was .0936, which, since it is greater than 0.05, indicates that our groups are not statistically different, which we inferred from the similarities between means and STDs. The Pearson’s coefficient was 0.725, which indicates that our two groups are roughly correlated. The star on the graph shows the similarity between the two groups. On the other hand, for the temperature readings, the mean of the gold standard was 96.63 degrees Fahrenheit, and the Spree’s mean was 95.47. In total, there were 305 data point amongst the groups. The standard deviation for the gold standard data was 1.986, and 0.861 for the Spree data. Our paired, two-tailed test result was so tiny as to be considered 0, which indicates there is significant statistical difference between the gold standard and the Spree for measuring temperature. We found the correlation coefficient to be .19, meaning that there is relatively no correlation between the data in the two groups. Since our subjects' temperature was expected to stay relatively constant throughout the course of the experiment, given the homeostatic capabilities of the human body, we are not surprised that each group had small standard deviations. The Spree does, on average and with significance, return temperature readings lower than the gold standard, so we recommend improve the temperature reading capabilities of the Spree for improved performance. The star on the graph shows that the mean of the gold star data is greater than data points within the first standard deviation of the Spree data. Experimental Design of Own Device