# BME100 f2014:Group2 L2

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# OUR TEAM

 Name: Victoria Bowman Name: Andre Dang Name: Chandler Heaton Name: Jordan Shinn Name: Abigail Weiss Name: Alena Zapata

# LAB 2 WRITE-UP

## Descriptive Statistics

Experiment 1
Rat Study Data Table

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Experiment 2
Human Study Data Table

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## Results

Experiment 1
Rat Study Graph

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Experiment 2
Human Study Graph

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## Analysis

Experiment 1
Rat Study T-test

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The t-test was used for the rat study because there were only two groups in the rat study and t-test investigates the difference between two groups. The p-value is .867403497. This p-value is greater than .05, so there is no statistical difference between the two groups, rats with a 0mg dosage of LPS and rats with a 10mg dosage of LPS.

Experiment 2
Human Study Anova

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The one-way ANOVA was used for the human study because the human study included several groups and a one-way ANOVA investigates the difference between several groups. Human Study Post-hoc Test: Bonfferoni Correction

## Summary/Discussion

In the experiment, we used two different dosages in the rat study, one at 0mg for five rats and 10mg for five rats. The results showed that the average effect of LPS on Infammotin production in rats was inconclusive; since there was a larger bias with if the rats in the 10mg dosage group causing a large error and identical average. The t-test showed there was no significant difference in inflammotin production in the rats with a 0mg dosage and the rats with a 10mg dosage. In human testing, using four groups of ten with 0mg, 5mg, 10mg, and 15mg dosage, there was a much more conclusive experiment then the lab rat testing. Between the 0mg and 5mg dosage groups, there wasn't a large average effect of LPS on Inflammotin production in humans but after increasing the dosage to 10mg and 15mg, we see that the LPS begins to take effect increasing the average significantly. Now looking within the ten people in the human testing, there isn't a large room for biases since all four groups reactions to the LPS stayed generally the same all averaging to about the same number. The one-way ANOVA and post-hoc test for the human study showed a significant difference in all comparisons.