# BME100 s2016:Group2 W1030AM L2

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BME 100 Spring 2016 | 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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## OUR TEAM## LAB 2 WRITE-UP## Descriptive Statistics
## Results
## AnalysisANOVA TEST The data from the study appears to show that there is a relationship between the lipopolysaccharide (LPS) and the presence of Inflammotin in the bodies of the elderly patients. With the data obtained from the study, an ANOVA test was conducted. This test yielded a p value that was significantly less than .05, which indicates that there is a significant difference with the LPS in humans. Next, individual comparisons were made with Bonferroni corrections (also referred to as post-hoc tests) in order to reconfirm the statistical significance that was determined with the ANOVA test. The method involved doing unpaired t-tests for each possible pair of groups (i.e., 0 mg vs. 5 mg, 1 mg vs. 10 mg, etc.). It was found that all pairs of data in the human study had statistical significance, because the t-test values were much lower than the corrected p-values. Regarding the data in the rat study, there was no noticeable relationship between the LPS and the presence of Inflammotin in the bodies of the rats. The LPS seem to yield random measures in the rat samples. An unpaired t-test was used to find the difference between the two groups of rats which were given different doses. The t-test yielded a p value that was greater than 0.05, which indicates that there was no statistical difference in the rat study.
## Summary/DiscussionIn the first experiment, there was a statistical difference between humans receiving a dosage of LPS, because the ANOVA test yielded a p value much less than 0.05. This means that we are 95% confident that there was a significant difference in the study involving humans. For the two groups of rats, there was no statistical difference. Therefore, we came to the conclusion that the LPS drug does increase the Inflammotin protein levels in humans. However, the lack of statistical significance in the rat study means that there was no increase of Inflammotin levels in the rats that received a dosage. These results could have been caused by different immune and drug responses between the humans and rats. We used a ANOVA test to analyze the data for humans because there were more than two groups involved in the study. Then, we used six unpaired T-tests (post-hoc tests from the Bonferroni corrections methods) to compare six possible pairs of groups to reconfirm the results of the ANOVA. For the rat study, we used an unpaired T-test, because there were two groups involved. |