BME100 f2014:Group4 L2: Difference between revisions

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| [[Image:BME103student.jpg|100px|thumb|Name: Larrison Black]]
| [[Image:BME103student.jpg|100px|thumb|Name: Larrison Black]]
| [[Image:BME103student.jpg|100px|thumb|Name: Anyssa Iwamoto]]
| [[Image:BME103student.jpg|100px|thumb|Name: Anyssa Iwamoto]]
| [[Image:BME103student.jpg|100px|thumb|Name: Your name]]
| [[Image:BME103student.jpg|100px|thumb|Name: Zach Sledge]]
| [[Image:BME103student.jpg|100px|thumb|Name: Your name]]
| [[Image:BME103student.jpg|100px|thumb|Name: Your name]]
| [[Image:BME103student.jpg|100px|thumb|Name: Your name]]
| [[Image:BME103student.jpg|100px|thumb|Name: Your name]]

Revision as of 20:25, 14 September 2014

BME 100 Fall 2014 Home
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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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OUR TEAM

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

LAB 2 WRITE-UP

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



Results

Experiment 1


Experiment 2





Analysis

Experiment 1


Experiment 2




Summary/Discussion

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.