BME100 f2017:Group7 W0800 L3
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OUR TEAM
LAB 3 WRITE-UPDescriptive Stats and GraphHeart 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
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 StatsHeart Rate:
T-test: 1.0968 x 10^(-21)
Statistical SummariesThe 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
Experimental Design of Own DeviceThe 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.
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