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
OUR TEAM Name: Ariana L. Shults Name: Samantha J Hatley Name: Megan Mendieta Name: Mohammed A. Tamim Name: Brenda J.Cardenas Name: Heston Scott Hamilton LAB 2 WRITE-UP Descriptive Statistics Experiment 1 Tables of human LPS dosage vs inflammotin concentration statistical analysis on pdf. Experiment 2 Tables of rats LPS dosage vs inflammotin concentration statistical analysis on pdf. Results Experiment 1 Graph of Measure of Inflammotin with Increasing LPS Dosage in Humans on pdf. ‎Experiment 2 Graph of Measure of Inflammotin with Increasing LPS Dosage in Rats on pdf. Analysis Experiment 1 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. Experiment 2 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/Discussion After 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.