BME100 f2017:Group3 W1030 L3

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OUR TEAM

Name: Blake McCal
Name: Chris Zakanycz
Name: Michael Finocchiaro
Name: Nicholas Faas
Name: Jonathan Planten

LAB 3 WRITE-UP

Descriptive Stats and Graph



Temperature Stats:
Gold Standard (Oral Thermometer)
Mean= 96.647
Standard Deviation= 1.923
Spree Band
Mean= 95.531
Standard Deviation= 0.870

Pearson’s r= 0.193


Heart Rate Stats:
Gold Standard
Mean= 98.21188
Standard Deviation= 22.98505
Spree Band
Mean= 98.9538
Standard Deviation= 24.87754

Pearson's r= 0.689

Inferential Stats



Temperature Stats:
We performed a matched pairs t-test to look for if there was a significant difference between the gold standard and the spree band.
p-value= 1.09676 x 10^-21
Heart Rate:
We performed a matched pairs t-test to see if there was a significant difference between the gold standard and the spree band.
p-value= 0.496023

Design Flaws and Recommendations



After compiling the temperature data into two lists (gold standard and spree band), the averages (means) for the gold standard and spree band were found to be 96.647 and 95.531 degrees Fahrenheit, respectively. The average distances between the mean and each data point (standard deviations) for the gold standard and spree band were found to be 1.923 and 0.870 degrees Fahrenheit, respectively. After plotting the points on a scatter plot, Pearson’s r was found to be 0.193. To determine if there was a significant difference between the gold standard and spree band, a matched pairs t-test was used. The test produced a p-value of 1.09676 x 10^-21. This means that the difference between the two methods is indeed significant.
The means for heart rate of the gold standard and the spree band were 98.21188 and 98.9538 beats per minute, respectively. The standard deviations for both were 22.98505 (spree band) and 24.87754 (gold standard). After plotting these points on the scatter plot Pearson’s r was found to be 0.689. A matched pairs t-test was used to determine if there was a significant difference between the gold standard and the spree brand. The test found a p-value of 0.496023. Since this isn’t less than .05 it is not statistically significant so there is not a significant difference between the methods.

Experimental Design of Own Device

Purpose: To measure the difference between the effectiveness of a regular inhaler (gold standard) and the phone case inhaler using a spirometer to measure volume of breath in milliliters.

Independent variable: Type of Inhaler
Dependent variable: volume of breath measured in mL.

Data collection: The experiment will require 200 people to be split into 2 groups. The first group will take the gold standard for asthma treatment and the second group will use the inhaler case. The two groups using the golden standard and the inhaler phone case will be compared. The measurements taken will be as follows: Initial Volume of Breath (mL), Volume of Breath After Gold Standard (mL), Volume of Breath After Inhaler Phone Case (mL).

Data Analysis: The goal of this experiment is to compare the results of the phone case inhaler to those of the gold standard. To analyze the data, a matched pairs t-test will be performed to determine if there is a significant difference between the two methods.