BME100 f2016:Group11 W8AM L3

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OUR TEAM

Name: Elmer Correa
Name: Zach
Name: Erik
Name: Isaac
Name: Maria Predtechenskaya
Name: Your name

LAB 3 WRITE-UP

Descriptive Stats and Graph

Temperature Measuring Spree Device:

Average (Gold Standard): 96.65269939

Average (Spree): 95.5308642

Standard Deviation (Gold Standard): 1.918462545

Standard Deviation (Spree): 0.8703782993

Count (Gold Standard): 326

Count (Spree): 324

Standard Error (Gold Standard): 0.1062538132

Standard Error (Spree): 0.04835434996




Heart Rhythm Measuring Device:

Average (Gold Standard): 98.08977

Average (Spree Band):98.94079

Standard Deviation (Gold Standard):23.03054

Standard Deviation (Spree Band):24.83749

Count (Gold Standard):303

Count (Spree Band):304

Standard Error (Gold Standard):1.3230699533

Standard Error (Spree Band):1.424527749


P-Value:0.661778

Significant? No


Pearson's r-Value:0.690806

Inferential Stats

Temperature Device P-value: 1.097E-21 Significant? Yes!

Pearson's r-value: 0.1927980889 (Below minimum .4 required to conclude statistical correlation)

Heart Rhythm Device P-Value: 0.661778 Significant? No

Pearson's r-value:0.690806




Design Flaws and Recommendations

Temperature Device

The spree device produces results significantly different from the gold standard device. The p-value is much smaller than 0.05, meaning that the differences are in fact statistically significant. In other words, the data from the spree is very different from the gold standard. When comparing the two device measurements through the Pearson's value, which is 0.193, we see that it is much smaller than 0.4 (this is the minimum acceptable value showing correlation). From the data, we can infer that the spree device is inferior in quality to the gold standard and should not be sold in any market due to underlying technical problems causing the data to stray from those of the gold standard.

Heart Rhythm Device



=Experimental Design of Own Device

Our experimental group would be people of both genders, of all ages that are suffering from peripheral vascular disease. The gender sample will be divided on the gender division in US which is 50.8% female and 42.9% male. The ages will be as follows: youth 0-18, early adults 19-40, adults 41-60, and elders 60+. Once again the numbers in our sample will be divided based on amount of people of those age groups in US currently, which is 25%, 40%, 20%, 15% respectively. We want to capture as accurate a picture of the US population and also to possibly find differences in efficacy based on age and gender. This will be our first group. The sample size would be about 200 people in order to increase the statistical significance of our results. If the device works well in the legs, we can move into the heart. We do not want to be testing the device on the heart first because we need to know if it will cause damage to the blood vessels and if it actually works before we go into such a complex and vulnerable organ like the heart. If our device works in leg veins and successfully removes cholesterol, then we will form test 2 which will be performed on a second group. This group will also contain people of both gender and all ages. The second group will be composed of people suffering from Coronary Heart Disease. The people from test 1 and test 2 will be different. From this test, we will see whether our device is applicable in the area of the heart.


Stats taken from 2010 Census (http://www.census.gov/prod/cen2010/briefs/c2010br-03.pdf).