BME100 f2014:Group4 L2

From OpenWetWare
Jump to: navigation, search
Owwnotebook icon.png BME 100 Fall 2014 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
Course Logistics For Instructors
Wiki Editing Help
BME494 Asu logo.png


Name: Israel Ortiz
Name: Larrison Black
Name: Anyssa Iwamoto
Name: Zach Sledge
Name: Shreya Ramkumar
Name: Your name


Descriptive Statistics

Experiment 1

LPS on Inflammotin Average

Description of image

Experiment 2

LPS on Inflammotin in Rats

Description of image

LPS on Inflammotin

Description of image


Experiment 1

In experiment 1 the average of LPS on inflammotin was documented. The average and the standard deviation were calculated with doses of 0mg, 5mg, 10mg, and 15mg on 10 trials. Below is a chart showing the average and standard deviations:

Dosage Average Stand Dev
0mg 3.834 1.523010177
5mg 8.932 1.593931547
10mg 61.622 30.11069386
15mg 657.941 212.9429762

The 10 different trials had a different dosage of LPS. Using these data points, a more in depth table and graph was created and is shown in the Descriptive Statistics section.

Experiment 2
Using the data gathered by the tests, the second experiment focused on the LPS effects on Inflammotin in rats and in humans. In the first study done with rats, there were two different kinds of dosages that were given. The first test was done with 0mg of LPS and five trials were completed. The average Inflammotin of these trials was 10.516. The standard deviation was 2.225. The other test trial that occurred with rats involved 10mg of LPS dosage over 5 trials. The average of these trials was 11.112 and the standard deviation was 7.402. Using this data, a graph was created. This graph is included under the descriptive statistics tab of experiment 2. Another study was conducted using LPS on Inflammotin. In these trials, there were 4 different doses of LPS given to the humans under study. The first group was given 0mg of LPS. The average Inflammotin of these studies was 3.834 and the standard deviation was 1.523. A second group of humans were given 5mg of LPS dosage. The average Inflammotin for this group was 8.932 and the standard deviation was 1.594. A third group of subjects were given 10mg of LPS dosage with an average being 61.622 and the standard deviation being 30.111. The fourth group of subjects was given 15mg of LPS and the average of Inflammotin of these trials was 657.941 and the standard deviation was 212.943. Each of these groups had 10 different trials of each different dosage of LPS. Using these data points, a graph was created and can be seen in the Descriptive Statistics section.


Experiment 1

In Experiment 1, the graph shows the averages of inflammotin in 0, 5, 10 and 15 mg dosages of LPS. What the graph tells us is that the imflammotin average is a lot higher in the 10 and 15 mg doses. The averages of imflammotin are really low in 0 and 5 mg doses. What this means is that the effect of LPS on inflammotin is greater in 10 and 15 mg doses.

Experiment 2

Based on the information presented in the graph their seems to be a positive correlation in the average based on the dosage. It seems that age doesn't have a significant effect on the average of the flammotin protein in the participants but the increase in averages seemed to be within individuals in their 60s.


Based off a similar problem from our last lab where we were given the problem of measuring protein on a budget, we were given data of the amount of LPS on inflammotin in both humans and rats. We used excel to help us calculate the average, standard deviation, endpoints, and standard error of the dosage and LPS on inflammotin proteins, which we used to create a visual demonstration using graphs.

For the “LPS on Humans” graph and “LPS on inflammotin” graph, we would utilize the one-way ANOVA test because we are comparing more than two independent variables, which are 0mg, 5mg, 10mg, and 15mg. For the “LPS on Rats” graph, we would use the t-test because there are only two independent variables, which are 0mg and 10mg. Once the p-value of the tests are calculated, we will be able to tell if there is or isnʻt a significant difference. If there is a significant difference, then a post test would be executed.

Although everyone in the group is familiar with excel, this exercise exposed us to a possible experiment we might face in the future.