BME100 s2016:Group15 W1030AM L2

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BME 100 Spring 2016 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: Sidney Covarrubias
Name: Kelsey Graft
Name: Mason Buseman
Name: Byron Alarcon-Benedetto
Name: Jake Xu
Name: Ibrahim Al Jabri


Descriptive Statistics

Experiment 1 (Humans)

  • 0 mg: 3.834 pg/ml
  • 5mg: 8.932 pg/ml
  • 10mg: 61.622 pg/ml
  • 15mg: 657.941 pg/ml

Standard Deviation:
  • 0 mg: 1.523 pg/ml
  • 5mg: 1.594 pg/ml
  • 10mg: 30.111 pg/ml
  • 15mg: 212.943 pg/ml

Standard Error:
  • 0 mg: .4816 pg/ml
  • 5 mg: .5040 pg/ml
  • 10 mg: 9.522 pg/ml
  • 15 mg: 67.338 pg/ml

Experiment 2 (Rat)

  • 0 mg: 10.516 pg/ml
  • 10 mg: 11.112 pg/ml

Standard Deviation:
  • 0 mg: 2.225 pg/ml
  • 10 mg: 7.402 pg/ml

Standard Error:
  • 0 mg: .9952 pg/ml
  • 10 mg: 3.3106 pg/ml


Experiment 1 (Humans) Graph
Graph of the experiment on Humans. Error Bars and Significance of Data indicated.

Experiment 2 (Rat) Graph
Graph of the experiment on Rats. Error Bars and Significance of Data indicated.


Experiment 1 (Humans)
Data from ANOVA test.
Post-Hoc test.

For the human data we ran the ANOVA test; however, we did not run this test for the rat data. The reasoning for running the ANOVA for the human data was due to the fact that there were more than two variables being tested. The ANOVA test showed that the p-value was less than .0833 (adjusted α value due to the number of comparisons, .05/6), which was 1.4*10^-16; therefore, there was a significant change when the dosages were changed. Following this test, the Post-hoc test was run for every different combination of two dosages. This test showed that every combination was statistically significant.

Experiment 2 (Rat)
Post-Hoc test.

In the rat data we only had two variables being tested (0 mg and 10 mg); therefore, only the t-test was run, which is a test between two sets of data as seen above in red for 0mg and blue for 10mg. This test showed that the p value was .867, which is greater then the α value of .05 which shows that there was no significant difference between inflammotin levels.


Experiment 1 (Humans)
The data showed that there is a significant difference between all the dosages. From 0 mg to 5mg there was already a significant difference but the difference between 0 mg and 15 mg had the greatest significant increase in Inflammotin. The experiment’s goal was to find the lowest dosage that would increase Inflammotin so that would be 0 mg to 5 mg. The data from the human experiment is valid because it passes the ANOVA test and the Post hoc test in terms of the p value.

Experiment 2 (Rat)
The data did not show significant difference between the 0 mg dosage and the 10mg dosage. The 10 mg dosage had a large amount of error and deviation. This is proven by the t test where the p value was significantly greater than .05. All in all for human experiment there was more success and clarity in the results.