BME100 f2013:W1200 Group18 L3: Difference between revisions

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==Analysis==
==Analysis==
<big><big><b>T Tests</b></big></big><br>  
<big><big><b>T Tests</b></big></big><br>  
[[Image:analysis.png]]


[[Image:Lab3ttestoutside.PNG]]
[[Image:Lab3ttestoutside.PNG]]

Revision as of 13:38, 25 September 2013

BME 100 Fall 2013 Home
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Lab Write-Up 1 | Lab Write-Up 2 | Lab Write-Up 3
Lab Write-Up 4 | Lab Write-Up 5 | Lab Write-Up 6
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OUR TEAM

Name: student
Role(s)
Name: student
Role(s)
Name: student
Role(s)
Name: student
Role(s)
Name: student
Role(s)
Name: student
Role(s)

LAB 3A WRITE-UP

Descriptive Statistics

Inside #1:
Average Oral: 97.69
Average Sensor: 95.38
Standard Dev. Oral: 0.653
Standard Dev. Sensor: 1.939

Outside:
Average Oral: 97.54
Average Sensor: 96.48
Standard Dev. Oral: 1.273
Standard Dev. Sensor: 1.39

Inside #2:
Average Oral: 97.51
Average Sensor: 96.06
Standard Dev. Oral: 0.615
Standard Dev. Sensor: 1.657





Results

(Well-labeled graph with error bars and significance)




Analysis

T Tests


Pearson's r Correlation



(Perform inferential statistics described in assignment.)





Summary/Discussion

A thermometer manufactured by Raiing claims to have the ability to measure temperature then wirelessly communicate the results to a smart phone with pristine accuracy. In order to test whether or not it's worth the eighty dollars to purchase and receive a correct reading, our group will test the measure of the sensor thermometer against the measure of an oral thermometer over a period of time. Testing the two simultaneously should reveal whether or not having a device like the wireless thermometer is even beneficial. If the two aren't showing the same relative reading, then it can be concluded that the sensor is not as accurate as Raiing claims it to be.





LAB 3B WRITE-UP

Target Population and Need



Device Design



Inferential Statistics



Graph