# BME100 f2015:Group2 1030amL2

BME 100 Fall 2015 | 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
• Using the ANOVA Test we determined the results were significant • Using the post-hoc test we determined that there was a significance between each of the groups, as they relate to each other
• Since the significant value we got from the T-test was greater than 0.05, it was not significant. • The P-test was relatively close to -1, of which indicated that there was a negative correlation with the data.
## Summary/DiscussionAs the dosage increased by 5mg the inflammation protein levels also increased exponentially in humans. We decided to choose the ANOVA test for this this experiment because we had more than two variables. When we did the post-hoc to see if the results were significant, we found out that they were significant between the groups with greater than 95% confidence. The medicine does significantly increases inflammation protein levels in humans. In contrast, in the lab rat experiment, we used the T-test as there were only two variables. We then calculated that the results were not significant as it had less than 95% confidence. Additionally, the P-Value indicated that there was a general negative correlation between the two variables. In other words, the medicine does not significantly increase the inflammation protein levels in rats. |