# BME100 s2014:W Group12 L2

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# OUR TEAM

 Name: RJ Parkinson Name: Jacqueline B. Stokes Name: Anthony Zlaket Name: Sara E. Jerez Name: Austin Lee Doyle

# LAB 2 WRITE-UP

## Descriptive Statistics

Experiment 1
Human AVG STDEV STERROR 0mg 3.834 1.52301018 0.481618106 5mg 8.932 1.59393155 0.504045412 10mg 61.622 30.1106939 9.521837451 15mg 657.941 212.942976 67.33848166

Experiment 2
Rat AVG STDEV STERROR 0mg 10.516 2.22555162 0.99529694 10mg 11.112 7.40288592 3.31067123

## Results

Experiment 1
Anova: Single Factor

SUMMARY Groups Count Sum Average Variance 0mg 10 38.34 3.834 2.31956 5mg 10 89.32 8.932 2.54061778 10mg 10 616.22 61.622 906.653884 15mg 10 6579.41 657.941 45344.7111

ANOVA Source of Variation SS df MS F P-value F crit Between Groups 3027016.69 3 1009005.56 87.2536019 1.40E-16 2.86626555 Within Groups 416306.027 36 11564.0563

Total 3443322.72 39

T-Tests 0mg-5mg 8.59631E-07 0mg-10mg 9.94377E-06 0mg-15mg 1.39436E-08 5mg-10mg 3.01859E-05 5mg-15mg 1.57101E-08 10mg-15mg 6.4824E-08

New P value 0.008333333

Experiment 2
T-Test 0.8674035

## Analysis

Experiment 1

There was significant difference between each collection of data.

Experiment 2

There was no significant difference between the data.

## Summary/Discussion

After Kristen performed the data collection we were able to conduct a comprehensive statistical data analysis on the data provided. After performing the T-test on the rat data we were able to reasonably conclude that the P value for the data was approximately .867. This means that there is an 87% chance of the data results occurring by chance if the experiment was performed again. After performing the ANOVA test on the human data we were able to reasonably conclude that the P value was 1.40083382702518E-16. This indicates an extremely strong case against the null hypothesis. After the performance of the Bonferroni Correction we were able to confirm that there was a statistically significant difference (P value < 0.05/6) among each comparison of data. By analyzing both tests it can be determined, to a certain extent, that Inflammotin levels rise with an increased dosage of LPS. It is undetermined when this trend would cease based on the available data, so more tests need to be performed in order to accurately determine when this would occur. According to Kristen the Inflammotin levels rose significantly within the rat population which according to our statistical analysis is in fact false. Perhaps Kristen’s mistake resulted from her small sample size and misinterpreting the average values of Inflammotin as being significant. To conclude, we can reasonably determine that by increasing LPS dosage the Inflammotin levels are increased within humans. More tests would have to be performed in order to further validate any conclusions.