BME100 f2013:W900 Group5 L2
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The study of the fact of LPS on inflammation in rats was conducted on 10 rats. 5 rats were not dosed i.e (0mg) the other five were dosed with 10mg of LPS. With only 10 data points we will not yield quality data of statistical significance. For the control group 0mg the average inflammation produced is 10.516. The average for the second group, 10mg was 11.112 average inflammation produced. These two numbers are less than one apart. This does not bode well for the effectiveness of LPS on inflammation. The standard deviation is high and there is no consistency in the numbers. For instance in the 10mg Group the lowest level of inflammation was 3.55 and the highest 22.34. That is a very large spread for just five participants. What I am trying to get at is there is very little consistency in this study. As it turns out the Ttest shows that there is no significance. And not surprisingly the posthoc Ttest also showed no significance. Although this test does not show significance, you could theorize that if you threw out outlier numbers in the 10mg group or just use more participants your results could look drastically different.  The study of the fact of LPS on inflammation in rats was conducted on 10 rats. 5 rats were not dosed i.e (0mg) the other five were dosed with 10mg of LPS. With only 10 data points we will not yield quality data of statistical significance. For the control group 0mg the average inflammation produced is 10.516. The average for the second group, 10mg was 11.112 average inflammation produced. These two numbers are less than one apart. This does not bode well for the effectiveness of LPS on inflammation. The standard deviation is high and there is no consistency in the numbers. For instance in the 10mg Group the lowest level of inflammation was 3.55 and the highest 22.34. That is a very large spread for just five participants. What I am trying to get at is there is very little consistency in this study. As it turns out the Ttest shows that there is no significance. And not surprisingly the posthoc Ttest also showed no significance. Although this test does not show significance, you could theorize that if you threw out outlier numbers in the 10mg group or just use more participants your results could look drastically different.  
  However, the study of the LPS production on humans yielded a different result due to the fact that they all showed a significant change in the LPS production by each dosage. Yet, the 15mg dosage seemed to give the largest increase per/mg but also had the largest amount of variance between the test subjects.  +  However, the study of the LPS production on humans yielded a different result due to the fact that they all showed a significant change in the LPS production by each dosage. Yet, the 15mg dosage seemed to give the largest increase per/mg but also had the largest amount of variance between the test subjects. The average value of LPS produced by a 0mg dosage was 3.834, 5mg was 8.932, 10 mg was 61.662 and finally 15 mg was 657.941. Now since all of these values carry a significance difference from one another, just by looking st the average LPS alone, the 15mg dose easily produced the most LPS, even considering the large amount of variance. 
(Please discuss the results and statistical analysis from both experiments. State your conclusion.)<br>  (Please discuss the results and statistical analysis from both experiments. State your conclusion.)<br> 
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BME 100 Fall 2013  Home People Lab WriteUp 1  Lab WriteUp 2  Lab WriteUp 3 Lab WriteUp 4  Lab WriteUp 5  Lab WriteUp 6 Course Logistics For Instructors Photos Wiki Editing Help  
OUR TEAMLAB 2 WRITEUPDescriptive SatisticsHuman Trials This is a data table that states the average,standard deviation, endpoint and the standard error for the different dosage levels that range from 0mg15mg at intervals of 5mg.
ResultsHuman Trials
AnalysisRat trials Human Trials
This is a table for the analysis of the ANOVA test then we tsted for the Pvalue of variance and discovered that all values and comparisons showed that between all the tested values, a commonality was shown that they all contained a significant difference after Ttesting them individually.
(Using inferential statistics, please determine statistically significant differences in the data.)
Summary/DiscussionRight Test Summary and Discussion The study of the fact of LPS on inflammation in rats was conducted on 10 rats. 5 rats were not dosed i.e (0mg) the other five were dosed with 10mg of LPS. With only 10 data points we will not yield quality data of statistical significance. For the control group 0mg the average inflammation produced is 10.516. The average for the second group, 10mg was 11.112 average inflammation produced. These two numbers are less than one apart. This does not bode well for the effectiveness of LPS on inflammation. The standard deviation is high and there is no consistency in the numbers. For instance in the 10mg Group the lowest level of inflammation was 3.55 and the highest 22.34. That is a very large spread for just five participants. What I am trying to get at is there is very little consistency in this study. As it turns out the Ttest shows that there is no significance. And not surprisingly the posthoc Ttest also showed no significance. Although this test does not show significance, you could theorize that if you threw out outlier numbers in the 10mg group or just use more participants your results could look drastically different. However, the study of the LPS production on humans yielded a different result due to the fact that they all showed a significant change in the LPS production by each dosage. Yet, the 15mg dosage seemed to give the largest increase per/mg but also had the largest amount of variance between the test subjects. The average value of LPS produced by a 0mg dosage was 3.834, 5mg was 8.932, 10 mg was 61.662 and finally 15 mg was 657.941. Now since all of these values carry a significance difference from one another, just by looking st the average LPS alone, the 15mg dose easily produced the most LPS, even considering the large amount of variance. (Please discuss the results and statistical analysis from both experiments. State your conclusion.)

The work was about getting some statistics for the dosages considering humans with different ages, and rats.