BME100 f2015:Group16 8amL3

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Contents

OUR TEAM

Name: Ryan Pan
Name: Ryan Pan
Name: Patrick Hogan
Name: Patrick Hogan
Name: Jessica Arroyo
Name: Jessica Arroyo
Name: Nicholas Torres
Name: Nicholas Torres
Name: Erin - Shea Warner
Name: Erin - Shea Warner
Name: Christy Goudamanis
Name: Christy Goudamanis

LAB 3A WRITE-UP

Descriptive Statistics

Temperature Data - Spree band Average - 96.70028818 Standart Deviation - 23.41883227 Standart Error - 1.257188787

Temperature Data - Thermometer Average - 95.64367816 Standard Deviation - 23.01119989 Standard Error - 1.233529792




Results

Comparing Means [ t-test assuming equal variances (homoscedastic) ] Heart Rate Descriptive Statistics VAR Sample size Mean Variance 95 348 95.79023 534.72532 81 346 96.74566 549.31484

Summary Degrees Of Freedom 692 Hypothesized Mean Difference 0. Test Statistics 0.54057 Pooled Variance 541.999

Two-tailed distribution p-level 0.58898 t Critical Value (5%) 1.9634

One-tailed distribution p-level 0.29449 t Critical Value (5%) 1.64706

G-criterion Test Statistics #N/A p-level #N/A Critical Value (5%) #N/A


Pagurova criterion Test Statistics 0.54055 p-level 0.41101 Ratio of variances parameter 0.49183 Critical Value (5%) 0.06273


Pearson r value 0.580637475

Comparing Means [ t-test assuming equal variances (homoscedastic) ] Temperature Descriptive Statistics VAR Sample size Mean Variance 95.44 376 97.27971 1.04228 97 376 98.79787 1.43104

Summary Degrees Of Freedom 750 Hypothesized Mean Difference 0. Test Statistics 18.71858 Pooled Variance 1.23666

Two-tailed distribution p-level 0. t Critical Value (5%) 1.96313

One-tailed distribution p-level 0. t Critical Value (5%) 1.64689

G-criterion Test Statistics 0.27603 p-level 0.00135 Critical Value (5%) 0.143


Pagurova criterion Test Statistics 18.71858 p-level 1. Ratio of variances parameter 0.42141 Critical Value (5%) 0.06273


Pearson r value 0.196248713


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Summary/Discussion

While performing the experiment with the spree band, many designs flaws were encountered. One of the design flaws that was encountered was not having a consistent method of recording time. While testing the temperature/heart rate of the subject, the stop watch that was used to record the time intervals had to be paused and resumed to ensure the accuracy of time. This experimental design flaw could be fixed by having an ongoing time, and recording the intervals of pausing and resuming. After comparing the results gathered from the experiment, it was concluded that the spree band data was not as accurate as the thermometer or pulse ox data gathered. By comparing the Pearson r coefficients and the data gathered from the T - tests, it was shown that the data gathered was not accurate when compared to the "gold standard" thermometer and pulse ox, which provided accurate readings. This may be due to the inaccuracy of the spree bands, or the fact that it is new technology and needs to be tested more.




LAB 3B WRITE-UP

Target Population and Need

The target population is athletes in training and people interested in fitness. This includes from ages 18 and up that have a stable weight to be able to calculate the percentage of sweat they are losing. This would be an affordable product for people of all income to be able to purchase it. The specific needs of the population is being able to detect early dehydration. By being able to detect early dehydration they are able to be properly hydrated and can optimize their workout.

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Device Design

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Inferential Statistics

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Graph

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