# 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

The data provided in the test between the gold standard and the spree device have unquestionably similar data recorded. The p-value is larger than 0.05, which tells us that the devices record measurements in no statistically different degree. Testing the reliability between them, we used Pearson's r-value and need to see if it reaches 0.4. The r-value found was 0.66 which explains that the spree device is similar to gold standard in terms of how its. Due to this statistical similarity, it would be totally acceptable or even advisable for this device to be sold on the market.

# =Experimental Design of Own Device

Our experimental group would be people of both genders, of all ages that are suffering from high cholesterol related 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. On top of this, the sample will also include a variety of severity of the diseases, ranging from only slightly above healthy levels of cholesterol to those at life threatening levels which puts them at serious risk of suffering a heart attack or stroke. This will be the only group required in the study to test the efficacy of our device as a means of removing arterial cholesterol plaque as it will be a two tailed, paired, dependent test. Prior to the procedure, a cholesterol test will be taken in the area of the artery that our device will treat for each subject. Next, those same subjects will undergo our device-dependent surgical procedure to remove cholesterol in that same area of the artery tested (this is imperative as the only changes in cholesterol are to be expected in this area). Afterwards, a cholesterol blood test, an ELISA test, will be taken in the area treated for data analysis. a t-test will be conducted for this paired test to determine the p-value between the two groups of results (pre and post-operation). A value of less than 0.05 will show that there is a statistical difference in the amount of cholesterol present in the treatment are (technically, this could also imply more plaque though a brief look at the graphed data could disprove this) and that our device is in fact effective. A Pearson's r-value to test correlation between the post-op and pre-op blood cholesterol levels could also be used show the effectiveness of the operation with our device. It would be preferable to see only a slight positive correlation to indicate lowered cholesterol levels among subject of all levels of initial cholesterol plaque in their treatment areas with only a slightly higher level after the operation in those with a higher initial level of cholesterol plaque. This is the realistic, best case expectation, though an r-value of 0 would be ideal (which would indicate the same level of efficacy in those subjects with life threatening levels of cholesterol as in those with milder, lower inital levels of cholesterol in the same treatment area). An r-value of 1 would imply the procedure had no effect on cholesterol plaque levels.

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