BME100 s2014:T Group8 L2

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

Name: Nicole Plachecki
Name: Omar Benitez
Name: Colton W. Tucker
Name: Hooyoung Kim
Name: Callaway Freeland

LAB 2 WRITE-UP

Descriptive Statistics

Experiment 1: Humans

LPS Dose........Avg. Inflammotin (pg/ml)....Std Deviation (+/- pg/ml)...Standard error..Count
0 mg............3.834...........................1.614064056.............0.161406406.....10
5 mg............8.932...........................1.59393154..............0.159393155.....10
10 mg...........61.622..........................30.11069386.............3.011069386.....10
15 mg...........657.941.........................212.9429762.............21.29429762.....10


Experiment 2: Rats

LPS Dose........Avg. Inflammotin (pg/ml)........Std Deviation (+/- pg/ml)...Standard error..Count
0 mg............10.516..........................0.445110323.................0.44511032........5
10 mg...........11.112..........................7.402885924.................1.480577185.......5



Results

Experiment 1
There were no observed inflammotin proteins in humans who received a placebo dosage. The most inflammotin was found in humans, who were give the 15 mg treatment. Figure 1 shows that the amount of inflammotin produced in humans is under 100 pg/mL for the three dosages under 15mg (0, 5, and 10mg).


Experiment 2
Figure 2, however, shows that inflammotin levels in rats that received no LPS and in those who received 10mg of LPS were within 2 pg/mL of each other. The inflammotin protein levels in the rats were found to be 5 times less than those in humans for a 10 mg dose of LPS.



Analysis

Experiment 1 Humans
Anova was chosen for humans because there were more than 2 groups that were being analyzed. The Anova P-value is 1.40083382702518E-16, which is below .05 meaning that we can begin to test significance. Using the corrected P-Value (Bonferroni), which we found to be 2.33E-17, it proves that the data was significant.


Experiment 2 t-test
t-test was chosen for rats because there were only 2 groups to compare. The P-value determined from this t-test was found to be .8674035, and since it is not less than .05 we can determine that the data is not significant.




Summary/Discussion