BME100 f2015:Group1 8amL2

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Contents

OUR TEAM

Name: Maria Dooling
Name: Maria Dooling
Name: Tiffany Nguyen
Name: Tiffany Nguyen
Name: Nathaniel Olsen
Name: Nathaniel Olsen
Name: Nolveto Gutierrez
Name: Nolveto Gutierrez
Name: Brenden Smith
Name: Brenden Smith
Name: Dalia Sarbolandi
Name: Dalia Sarbolandi

LAB 2 WRITE-UP

Descriptive Statistics

Experiment 1
The Mean and Variability Values in Humans

Dosage 0mg ' 5mg ' 10mg ' 15mg
Average3.8348.93261.622657.941
Standard Deviation1.5230101771.59393154730.11069386212.9429762
Endpoint #10101010
Standard Error0.4816181060.5040454129.52183745167.33848166


Experiment 2
The Mean and Variability Values in Rats

Dosage 0mg 10mg
Average10.51611.112
Standard Deviation2.2255516177.402885924
Endpoint #55
Standard Error0.9952969413.310671231




Results

Experiment 1

Image:BME100WG1HG.jpg

Experiment 2


Image:BME100WG1RG.jpg



Analysis

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

Post-hoc Tests T-test value Corrected Significant?
0mg vs 5mg8.60E-070.0167Yes
5mg vs 10mg3.02E-050.0167Yes
10mg vs 15msg6.48E-080.0167Yes

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
Average10.51611.112
Standard Deviation2.2255516177.402885924
Endpoint #55
Standard Error0.9952969413.310671231
T-test0.861259

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.

Summary/Discussion

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.

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