# BME100 s2014:T Group4 L2

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# OUR TEAM

 Brian D. Kalen Parker W. Davis Michael Spina Daniel N. Munoz Rakan S. Aldrssary

# LAB 2 WRITE-UP

## Descriptive Statistics

Experiment 1:Human study

0mg:
Average: 3.83 pg/ml
Standard Error: 0.482 pg/ml
standard deviation: 1.52 pg/ml

5mg:
Average: 8.93 pg/ml
Standard Error: 0.504 pg/ml
Standard Deviation:1.59 pg/ml

10mg:
Average: 61.6 pg/ml
Standard Error: 9.52 pg/ml
Standard Deviation:30.1 pg/ml

15mg:
Average: 657.9 pg/ml
Standard Error: 67.3 pg/ml
Standard Deviation: 212.9 pg/ml

Experiment 2:Rat study

0mg:
Average: 10.52 pg/ml
Standard error: 1.00pg/ml
Standard Deviation: 2.23pg/ml

10mg:
average: 11.11pg/ml
Standard Error: 3.31pg/ml
Standard Deviation: 7.40pg/ml

See PDF

## Analysis

Experiment 1:Human Study

We used an ANOVA because there is more than two groups. The ANOVA let us know that their was significant data.

Aside from using the ANOVA test, we also used a t-test to compare each group specifically to each other.
ANOVA P-value: 1.4*10^-16
T-Test P-value:
0-5mg: 1.43*10^-7
0-10mg: 1.66*10^-6
0-15mg: 2.32*10^-9
5-10mg: 5.03*10^-6
5-15mg: 2.62*10^-9
10-15mg: 1.08*10^-8

All the p-values are lower than .05, showing that all the comparisons are significant.

Experiment 2: Rat Study

The T-test was used because only two groups were used for comparison in this study.

P-value: .86
This value shows that it is not significant because it does not meet the .05 significant p-value

## Summary/Discussion

There was no significance in the rat study, the human study however had complete significance.
It is possible that the rats did not respond to LPS because they do not have the genes that code for inflammotin production.
Since there was no significant statistical difference in rats, then it does not seem logical to attempt human trials of LPS.
For the human test, with each increasing dose, the amount of inflammotin changed exponentially.