BME100 f2014:Group16 L2

BME 100 Fall 2014	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: Gurpaul Sidhu Name: Christopher Saar Name: Leslie Bernardino Name: Emily Angeles Mancinas Name: Sheania Morgan Name: Romann Arizmendi LAB 2 WRITE-UP Descriptive Statistics Experiment 1 Human Table Experiment 2 Rat Table Results Experiment 1 Human Graph ‎Experiment 2 Rat Graph Analysis Experiment 1 Anova Analysis An ANOVA test was chosen for this study because there were more than two dosage groups being tested. Because, the p-value found in the test was less than 0.05, there was a significant difference between the means of the groups. Experiment 2 T-test Analysis An Unpaired T-Test was chosen for this group because there were only two dosage levels and different subjects were utilized for each level. Based on the results, there was not a statstically significant difference between the groups because the p-value was much higher than 0.05. Summary/Discussion The Human Study data shows that different dosages of LPS have significantly different effects on inflammotin levels. This is reinforced by the ANOVA test, since the P value of .87 is significantly smaller than 0.05. That being said each level of the independent variable had a relatively high standard deviation specially at higher dosage levels.For the rat study, the averages were different; however, the standard deviations were high. Because of this the T-test came out with a very high P value of .87 meaning that there was no statistically significant difference between the two groups. Since the size of the rats is significantly smaller than that of a human, using the same dosage is going to effect the rats at a greater scale than the humans.