BME100 f2014:Group16 L2
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LAB 2 WRITE-UP
An ANOVA test was chosen for this study because there were more than two dosage groups being tested. Because, the p-value found in the test was less than 0.05, there was a significant difference between the means of the groups.
An Unpaired T-Test was chosen for this group because there were only two dosage levels and different subjects were utilized for each level. Based on the results, there was not a statstically significant difference between the groups because the p-value was much higher than 0.05.
The Human Study data shows that different dosages of LPS have significantly different effects on inflammotin levels. This is reinforced by the ANOVA test, since the P value of .87 is significantly smaller than 0.05. That being said each level of the independent variable had a relatively high standard deviation specially at higher dosage levels.For the rat study, the averages were different; however, the standard deviations were high. Because of this the T-test came out with a very high P value of .87 meaning that there was no statistically significant difference between the two groups. Since the size of the rats is significantly smaller than that of a human, using the same dosage is going to effect the rats at a greater scale than the humans.