BME100 s2014:T Group16 L2

From OpenWetWare

Jump to: navigation, search
BME 100 Fall 2013 Home
People
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
Photos
Wiki Editing Help
Image:BME494_Asu_logo.png

Contents

OUR TEAM

Name: Ryan Hess
Name: Ryan Hess
Name: Jossel D. Nkunzi
Name: Jossel D. Nkunzi
Name: Alireza Momeni
Name: Alireza Momeni
Name: Angie Chan
Name: Angie Chan
Name: Jospeh Sidman
Name: Jospeh Sidman

LAB 2 WRITE-UP

Descriptive Statistics

Experiment 1

Dose Average inflammotin levels Standard Deviation Count Standard Error
0 mg 3.834 1.523010177 10 0.481618106
5 mg 8.932 1.593931547 10 0.504045412
10 mg 61.622 30.11069386 10 9.521837451
15 mg 657.941 212.9429762 10 67.33848166

Experiment 2

Dose Average Inflammotin levels Standard Deviation
0mg 10.516 2.225551617
10mg 11.112 7.402885924




Results

Experiment 1

An ANOVA test was run on the data for the human study and a P-value of 1.40083E-16 was found showing there is statistical significance among groups. T-tests were then run between each group. An ANOVA was ran first on the human because the there are more then two groups being tested. The Bonferoni value is .05/6=0.0083

Groups P-value
0mg-5mg .00000086
0mg-10mg .0000099
0mg-15mg .000000014
5mg-10mg .000030
5mg-15mg .000000016
10mg-15mg .000000065

This shows that there is a significance between indivisual groups as each P-value is lower the 0.0083.


Experiment 2
When a T-test was run on the rats there was a P-value of 0.867403497 showing that the data is not significant. A T-test was chosen because there are only two groups to compare.






Analysis

Experiment 1


Experiment 2




Summary/Discussion

Personal tools