BME100 f2015:Group1 8amL2

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Owwnotebook icon.png BME 100 Fall 2015 Home
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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Name: Maria Dooling
Name: Tiffany Nguyen
Name: Nathaniel Olsen
Name: Nolveto Gutierrez
Name: Brenden Smith
Name: Dalia Sarbolandi


Descriptive Statistics

Experiment 1
The Mean and Variability Values in Humans

Dosage 0mg ' 5mg ' 10mg ' 15mg
Average 3.834 8.932 61.622 657.941
Standard Deviation 1.523010177 1.593931547 30.11069386 212.9429762
Endpoint # 10 10 10 10
Standard Error 0.481618106 0.504045412 9.521837451 67.33848166

Experiment 2
The Mean and Variability Values in Rats

Dosage 0mg 10mg
Average 10.516 11.112
Standard Deviation 2.225551617 7.402885924
Endpoint # 5 5
Standard Error 0.995296941 3.310671231


Experiment 1


Experiment 2



Experiment 1
Human Study Inferential Statistics: P-Value: 1.4E-16

Post-hoc Tests T-test value Corrected Significant?
0mg vs 5mg 8.60E-07 0.0167 Yes
5mg vs 10mg 3.02E-05 0.0167 Yes
10mg vs 15msg 6.48E-08 0.0167 Yes

There is an observable difference between levels of Inflammotin levels for each dosage in comparison to each other, since the p value for the comparisons is less than .05. The use of ANOVA is needed because we are investigating variance between several groups. Experiment 2
Rat Study Inferential Statistics:

Dosage 0mg 10mg
Average 10.516 11.112
Standard Deviation 2.225551617 7.402885924
Endpoint # 5 5
Standard Error 0.995296941 3.310671231
T-test 0.861259

There is no significant difference between the 2 groups of rats, 0mg and 10mg, because the p value is .86, which is higher than .05. The T-test was needed because it was comparing 2 groups.


The data of the experiment has a purpose of showing the effects of lipopolysaccharide in 2 different species, rats and humans. The data showed that there was no statistically significant effects on rats, however there was a significant effect on humans. Because there were 2 sample groups of rats, a t-test was needed for the experiment. This showed a p value of .867 for rats, showing that the effect on inflammation concentration in rats was minimal. An ANOVA test was used to compare the several groups of human samples. The p-value for the ANOVA test was 1.40083E-16. Because that number is less than .05, there is a statistically significant difference in the data for humans. All of the data sets were significantly different from each other. Some reasons why the effectiveness results varied between species may be because: the number of samples in each group, the dosage difference in each test, and many other possibilities.