BME100 s2015:Group1 12pmL2

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BME 100 Spring 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: Jake Packer
Name: Jorge Hernandez
Name: Andre Nguyen
Name: Kaylena Conkin
Name: Your name


Descriptive Statistics

Experiment 1

Experiment 2


Experiment 1

Experiment 2


Experiment 1
Anova Data

The ANOVA test was used because more than two variables needed to be compared.

Post-hoc Test

Experiment 2

The T-Test was used because there were only two variables that needed to be compared between each other.

As shown in the tables, the p-value of the rat study was higher than 0.05 meaning that there is no significant difference within the data. The initial ANOVA test for the human study showed a p-value significantly lower than 0.05. After a post test was performed, a significant difference was still found below the adjusted alpha value (0.0083) between each comparison.


When the human trails were performed, four different dosages of LPS were given. When the data was analyzed, an ANOVA test was used since there were more than two variables. This data concluded that there were significant differences in inflammation when the dosages were elevated. These significant differences were shown to be consistent between each trial.

On the other hand, when the rat trials were analyzed, a t-test was used, since there were only two groups; rats that received no treatment or rats that received 10mg of LPS. When the t-test was performed there was no significant difference observed because the p-value exceeded the 0.05 alpha value.

The difference in the analyzed data may be attributed to the differences between human and rat composition.

As the dosages of LPS increased in human trials, inflammation (pg/ml). increased exponentially. In contrast, when rats were given a 10mg dosage of LPS, no significant difference was observed.