BME100 f2013:W900 Group7 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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Contents

OUR TEAM

Name: Roberto A. AguirreRole(s)
Name: Roberto A. Aguirre
Role(s)
Name: Shelby S. MartinRole(s)
Name: Shelby S. Martin
Role(s)
Name: Christopher G. CusickRole(s)
Name: Christopher G. Cusick
Role(s)
Name: Neel A. PendyalaRole(s)
Name: Neel A. Pendyala
Role(s)
Name: Abby MonhollenRole(s)
Name: Abby Monhollen
Role(s)
Name: studentRole(s)
Name: student
Role(s)

LAB 2 WRITE-UP

Descriptive Statistics

Experiment 1 (Rats)

' ' Rat Study
Inflammotin Levels
0mg10 mg
9.2422.34
8.766.45
8.7814.23
13.53.55
12.38.99
Average10.51611.112
Standard Deviation2.2255516177.402885924
Endpoint Number55
Standard Error0.9952969413.310671231

Experiment 2 (Humans)

' ' Human Study ' '
Inflammotin Levels
0 mg5 mg10 mg15 mg
5.2310.72100.19793.17
1.019.2975.92476.67
4.238.4623.46771.45
1.8710.1970.87795.09
3.677.2919.27181.27
2.987.5499.65752.78
5.838.6738.37934.23
5.246.1576.26554.87
4.2710.9235.25692.23
4.0110.0976.98627.65
Average3.8348.93261.622657.941
Standard Deviation1.5230101771.59393154730.11069386212.9429762
Endpoing Number10101010
Standard Error0.4816181060.5040454129.52183745167.33848166




Results

Experiment 1 Average Inflammotin Levels for Rat Test Subjects Experiment 2 Average Inflammotin Levels for Human Test Subjects

(Please include well-labeled graphs of the results.)




Analysis

Experiment 1 (Rats)

' Treatment '
0 mg10 mg
9.2422.34
8.766.45
8.7814.23
13.53.55
12.38.99
Average10.51611.112
Standard Deviation2.2255516177.402885924
T Test0.867403497
Significant?No

Experiment 2 (Humans)

Anova: Single Factor ' ' ' ' ' '
SUMMARY
GroupsCountSumAverageVariance
0 mg1038.343.8342.31956
5 mg1089.328.9322.540617778
10 mg10616.2261.622906.6538844
15 mg106579.41657.94145344.71112
ANOVA
Source of VariationSSdfMSFP-valueF crit
Between Groups3027016.69531009005.56587.253601951.40083E-162.866265551
Within Groups416306.02673611564.0563
Total3443322.72139
Post-Hoc Tests t test value Corrected P Value to Achieve Significance Significant?
0mg vs 5mg8.59631E-070.0083Yes
0mg vs 10mg9.94377E-060.0083Yes
0mg vs 15mg1.39436E-080.0083Yes
5mg vs 10mg3.01859E-050.0083Yes
5mg vs 15mg1.57101E-080.0083Yes
10mg vs 15mg6.4824E-080.0083Yes


In the first experiment with the rats, there was no statistical significance between 0 mg of the lipopolysaccaride and 10 mg of the lipopolysaccaride because the p value for the two tailed T-Test was less than .05 (less than 95% confidence). In the second test with the humans, there was a statistically significant difference between the treatment groups,as determined by the single factor ANOVA test. However, this did not determine which treatment groups were statistically significant. So, a Bonferroni Correction was applied and a corrected p value was determined to be .0083. A T-Test was then run between all treatment groups and all T-Test results were less than the corrected p value, indicating that they are statistically significant.





Summary/Discussion

Experiment 1 (rats): For this experiment, we saw a slight increase in protein levels from 0mg to 10mg of lipopolysaccharides. However, once we did the t-test we found the change to not be statistically significant due to the p-value of 0.867 being greater than alpha level of 0.05. Therefore, the results cannot be attributed to the change in dosage level in the pills and this is most likely due to chance.

Experiment 2 (humans): In this experiment, we observed an exponential increase between dosage amount and protein levels in human subjects. This is evident in the sharp increase in protein levels from 10 mg to 15 mg of lipopolysaccharide in the graph. Unlike the experiment with rats, a statistically significant relationship was found between dosage amount of lipopolysaccharide and protein levels. This was determined by performing an ANOVA analysis and then a Bonferroni Correction to show that the p-values of all treatment groups were less than 0.05 (95% confidence), indicating a statically significant relationship (as further explained in "Analysis" section). Since the p-values of all treatment groups were less than 0.05, we can conclude that the increase in protein levels was directly attributable to change in dosage levels of polysaccharide and not a result of natural variation or chance.







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