BME100 s2014:T Group15 L2

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Lab Write-Up 1 | Lab Write-Up 2 | Lab Write-Up 3
Lab Write-Up 4 | Lab Write-Up 5 | Lab Write-Up 6
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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.