BME100 s2015:Group2 12pmL2: Difference between revisions

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'''Experiment 1''' <br>
'''Experiment 1''' <br>
<a href="http://imgur.com/out3oGP"><img src="http://i.imgur.com/out3oGP.png" title="source: imgur.com" /></a>
[[Image:Data Humans.png‎|500px|Descriptive Stats of Human data]]
 


'''Experiment 2'''<br>
'''Experiment 2'''<br>
 
[[Image:Data Rats.png‎|500px|Descriptive Stats of Rat data]]
<a href="http://imgur.com/hhoKrAi"><img src="http://i.imgur.com/hhoKrAi.jpg" title="source: imgur.com" /></a>


<br><br>
<br><br>
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'''Experiment 1''' <br>
'''Experiment 1''' <br>
 
[[Image:Results Humans.png‎|500px|Graph of Statistical Data For Humans]]




‎'''Experiment 2''' <br>
‎'''Experiment 2''' <br>
A T-Test was used to determine whether or not there is a statistically significant difference in the inflammotin found in the body of rats due to the change in dosage of LPS from 0mg to 10mg. The results of the t-test were approximately 0.87, which shows there is no correlation between the change in dosage- this is because the maximum number for it to be statistically significant is 0.05. 
[[Image:Results Rats.png‎|500px|Graph of Statistical Data For Rats]]




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'''Experiment 1''' <br>
'''Experiment 1''' <br>
[[Image:Analysis Humans(2).png‎|500px|Data Analysis Via ANOVA Test]]
[[Image:Analysis Humans.png‎|500px|Data Analysis Using Comparison T-Tests]]
For the study with Humans, the ANOVA test was used because there were more than 2 data sets to be compared. Then, the Bonferoni Correction test was used by implementing the t-test to find the corrective p-value for each of the comparisons (example: 0mg vs. 5mg and 0mg vs. 10mg). There were six comparisons total which were based off of the four different groups. These values were used to determine the significance between the the p-value of 0.0083 (0.05 divided by 6) with the t-test value for each of the 6 comparisons. The values were deemed significant because of the great differences between the T-Test Value and the corrected P-Value.






'''Experiment 2''' <br>
'''Experiment 2''' <br>
[[Image:Analysis Rats.png‎|200px|Data Analysis For Rats Via T-Test]]
During the rat study, the dosage amount of 0mg changed the amounts of inflammotin within the rats was equal to the amount of inflammoton with the 10mg dosage, both averaging out to 10.516 for 0mg and 11.112 for 10mg which shows the deviation to be insignificant and making it statistically insignificant. Result from the standard deviation shows that the level of inflammotin within the test subjects with 0mg and 10mg dosage varied.
During the rat study, the dosage amount of 0mg changed the amounts of inflammotin within the rats was equal to the amount of inflammoton with the 10mg dosage, both averaging out to 10.516 for 0mg and 11.112 for 10mg which shows the deviation to be insignificant and making it statistically insignificant. Result from the standard deviation shows that the level of inflammotin within the test subjects with 0mg and 10mg dosage varied.


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==Summary/Discussion==
==Summary/Discussion==
For the Rat test the T-Test was used to analyse the data, the T-test was chosen because the rats experiment only included two data sets-so ANOVA was not necessary. In the Rat test, there was no significant statistical difference, and so there was no importance in the difference between 0mg and 10mg in rats. However, in the human study where 0, 5, 10, 15 mg were used there was a significant difference between each of the 4 doses. In the human inflammotin test, there were six comparisons used to test for variance. The human inflammotin test needed to use the ANOVA because there were 3 data sets that were tested.
For the experiment regarding the presence of Inflammotin in rats, the T-Test was used to analyze the data. The T-test was chosen because the rats experiment only included two data sets-so ANOVA was not necessary. In the Rat test, there was no significant statistical difference, and so there was no importance in the difference between 0mg and 10mg dosage levels in rats. However, in the human study where 0, 5, 10, 15 mg were used there was a significant difference between each of the 4 doses. Due to the fact that there were 4 groups, the ANOVA test had to be ran in order to check the difference between the groups. A post-hoc test was then deemed necessary in order to draw comparison between each separate group(0mg vs. 5mg, 5mg vs. 10 mg, etc). The post-hoc test utilized the Bonferroni correction factor in order to see if the difference between the groups was significant or not. Every group yielded that there was significant variance after accounting for the Bonferroni correction and then running T-Tests between each comparison. These two studies appeared to be linked through the different effects which LPS has on the Inflammotin levels in people versus rats. In rats, the LPS drug did not have a significant impact on the Inflammotin levels. A dosage of 10 mg hardly affected the rats at all. However, with people, the levels of Inflammotin increased as dosage increased. If a 0 mg and 10 mg dose are compared in humans versus rats - humans have large levels of Inflammotin while rats have a fairly consistent level. The LPS drug does not seem to have a considerable effect on rats, whereas, in humans, the drug increases Inflammotin levels rather rapidly.

Revision as of 20:35, 28 January 2015

BME 100 Spring 2015 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
Course Logistics For Instructors
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OUR TEAM

Name: Levi Riley
Name: Alexandria Clark
Name: Blossom Mendonca
Name: Alina Kilic
Name: Trevor Douglass
Name: Andre Dang


LAB 2 WRITE-UP

Descriptive Statistics

Experiment 1
Descriptive Stats of Human data


Experiment 2
Descriptive Stats of Rat data



Results

Experiment 1
Graph of Statistical Data For Humans


Experiment 2
Graph of Statistical Data For Rats




Analysis

Experiment 1
Data Analysis Via ANOVA Test

Data Analysis Using Comparison T-Tests

For the study with Humans, the ANOVA test was used because there were more than 2 data sets to be compared. Then, the Bonferoni Correction test was used by implementing the t-test to find the corrective p-value for each of the comparisons (example: 0mg vs. 5mg and 0mg vs. 10mg). There were six comparisons total which were based off of the four different groups. These values were used to determine the significance between the the p-value of 0.0083 (0.05 divided by 6) with the t-test value for each of the 6 comparisons. The values were deemed significant because of the great differences between the T-Test Value and the corrected P-Value.


Experiment 2
Data Analysis For Rats Via T-Test

During the rat study, the dosage amount of 0mg changed the amounts of inflammotin within the rats was equal to the amount of inflammoton with the 10mg dosage, both averaging out to 10.516 for 0mg and 11.112 for 10mg which shows the deviation to be insignificant and making it statistically insignificant. Result from the standard deviation shows that the level of inflammotin within the test subjects with 0mg and 10mg dosage varied.



Summary/Discussion

For the experiment regarding the presence of Inflammotin in rats, the T-Test was used to analyze the data. The T-test was chosen because the rats experiment only included two data sets-so ANOVA was not necessary. In the Rat test, there was no significant statistical difference, and so there was no importance in the difference between 0mg and 10mg dosage levels in rats. However, in the human study where 0, 5, 10, 15 mg were used there was a significant difference between each of the 4 doses. Due to the fact that there were 4 groups, the ANOVA test had to be ran in order to check the difference between the groups. A post-hoc test was then deemed necessary in order to draw comparison between each separate group(0mg vs. 5mg, 5mg vs. 10 mg, etc). The post-hoc test utilized the Bonferroni correction factor in order to see if the difference between the groups was significant or not. Every group yielded that there was significant variance after accounting for the Bonferroni correction and then running T-Tests between each comparison. These two studies appeared to be linked through the different effects which LPS has on the Inflammotin levels in people versus rats. In rats, the LPS drug did not have a significant impact on the Inflammotin levels. A dosage of 10 mg hardly affected the rats at all. However, with people, the levels of Inflammotin increased as dosage increased. If a 0 mg and 10 mg dose are compared in humans versus rats - humans have large levels of Inflammotin while rats have a fairly consistent level. The LPS drug does not seem to have a considerable effect on rats, whereas, in humans, the drug increases Inflammotin levels rather rapidly.