BME100 f2015:Group9 8amL2
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LAB 2 WRITE-UP
Experiment 2: Rats
An ANOVA test was conducted for the human study because there were more than 2 groups in the independent variable. The p-value for the ANOVA test was 1.40083*10^-16. Since this p-value is less than .05 there is a statistically significant difference in the data. Because we do not know which data sets are significantly different from each other, we conducted 6 post-tests that compared each individual group with one another. Since there were 4 groups, the corrected p-value to achieve significance became .0125 or (.05/4). Because the p-values in all six post-test we conducted were less than .0125, we determined that all the data sets were significantly different from each other.
Experiment 2: Rats
A t-test was conducted for the rat study because there were only 2 groups to compare. The p-value for this test was 0.8674035, and because this value is so high when compared to the p-value to achieve significance, the data was determined to not be significant. Because the p value was determined to be greater than the five percent level of significance conducted in the experiment, there was no need for any other testing such as the ones conducted with the Human trials.
The data set of the experiment on the effects of lipopolysaccharide (LPS) in different species showed that there was not a statistically significant effect on the rats but, the results showed a statistically significant effects on humans. There were two sample groups of rats therefore a t-test was conducted for this experiment. The results showed no statistically significant difference between the subjects and as a result, it shows that an increase in LPS has no significant effect on the inflammation concentration in rats. This was of course based on the fact that the p-value for the test statistic was recorded to be 0.8674035. Since this is larger than the five percent level of signficance used in the analysis of data, the results were not conclusive. There were four sample groups of human therefor an ANOVA test was performed and it was followed with a post-test to compare the groups with each other to find out if there was a statistically significant difference between the human results. The p-value for the ANOVA test was 1.40083*10^-16. Since it’s less than .05 there is a statistically significant difference in the data. Since there were four groups, the corrected p-value to achieve significance became 0.0125. The p-values in all six post-test were less than .0125 that can only conclude that all the data sets were significantly different from each other. There are numbers of reasons that can cause the result difference of the effect of the (LPS) in human vs rats. The nature difference of the two samples, the number of the samples in each group, the dosage difference in each test or could be other factors that it has not been mentioned.