# 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
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## Contents## OUR TEAM## LAB 2 WRITE-UP## Descriptive Statistics
## Results
## 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.
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/DiscussionThe 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. |