# BME100 s2014:T Group15 L2

BME 100 Fall 2013 | Home People Lab Write-Up 1 | Lab Write-Up 2 | Lab Write-Up 3 Lab Write-Up 4 | Lab Write-Up 5 | Lab Write-Up 6 Course Logistics For Instructors Photos Wiki Editing Help
| ||||||

## Contents## OUR TEAM## LAB 2 WRITE-UP## Descriptive Statistics
Tables of rats LPS dosage vs inflammotin concentration statistical analysis on pdf.
## Results
Graph of Measure of Inflammotin with Increasing LPS Dosage in Humans on pdf.
Graph of Measure of Inflammotin with Increasing LPS Dosage in Rats on pdf.
## Analysis
The overall ANOVA p-value was 1.40083E-16 and since it was less than 0.05, or of 95% confidence, it was statistically significant. The t-tests confirmed that all the p-values were less than the Bonferroni Correction value, therefore all the comparisions were statistically significant. The 0-mg vs. 15-mg comparison had the most significance.
The t-test value was 0.867403497 and because it was greater than 0.05, the difference in inflammotin concentrations between the two groups was not statistically significant.
## Summary/DiscussionAfter analyzing the data given through both experimental scenarios, we were able to determine which results were statistically significant. For the trials run on human subjects, the overall ANOVA p-value was calculated to be 1.40083E-16, and since it was less than 0.05 it was considered statistically significant. The individual t-tests comparing each set of human data confirmed that all the p-values were less than the Bonferroni Correction value, therefore all the comparisions were statistically significant. The 0-mg vs. 15-mg comparison had the most significance. In the trials performed on the rats, a t-test returned a p-value of 0.867403497. Since this value is greater than 0.05, we can infer that the difference between the two rat trials was not statistically significant. |