# BME100 f2015:Group14 1030amL2

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# LAB 2 WRITE-UP

## Descriptive Statistics

Experiment 1
Experiment 1 will be labeled as the experiment that consisted of a human study.

The average inflammotin level in pg/ml for the independent variable level of 0mg was: 3.834 The standard deviation was: 1.523

The standard error was: 0.482

The average inflammotin level in pg/ml for the independent variable level of 5mg was: 8.932 The standard deviation was: 1.594

The standard error was: 0.504

The average inflammotin level in pg/ml for the independent variable level of 10mg was: 61.622 The standard deviation was: 30.111

The standard error was: 9.522

The average inflammotin level in pg/ml for the independent variable level of 15mg was: 657.941 The standard deviation was: 212.943

The standard error was: 67.338

The count for this experiment was 10 (10 samples per dose)

Experiment 2

Experiment 2 will be labeled as the experiment that consisted of a rat study.

The average inflammotin level in pg/ml for the independent variable level of 0mg was: 10.516 The standard deviation was:2.226

The standard error was: 0.995

The average inflammotin level in pg/ml for the independent variable level of 10mg was: 11.112 The standard deviation was: 7.403

The standard error was: 3.311

The count for this experiment was 5 (5 samples per dose)

## Results

Experiment 1
The following are p-values resulting from the experiment on human subjects. An ANOVA test was conducted due to there being more than 2 levels of independent variable. The P-value for ANOVA test was 1.4E-16, which signifies that there is a statistical significance between data sets as it is less than the given value of alpha: 0.005 (.05/10-the count). Due to there being a statistically significant value of P in the ANOVA test, unpaired t-tests were performed to evaluate the statistical significance in between each level of the independent variable. The results are as follows:

P-value 0mg and 5mg 8.59631E-07 0mg and 10mg 9.94377E-06 0 and 15 1.39436E-08 5 and 10 3.01859E-05 5 and 15 1.57101E-08 10 and 15 6.4824E-08

These results, being less than the alpha value 0.005, are all considered statistically significant.

Experiment 2

Since there were only 2 levels of the independent variable utilized for the rat study, an ANOVA test was unnecessary and thus a T-test was performed instead. The p-value that resulted from this test was 0.867403497. This p-value was greater than the given value of alpha:0.05 and thus there was no statistical significance found within this data.

## Analysis

Experiment 1

Analysis of the results beyond the graph are included in the section labeled results.

Experiment 2

Analysis of the results beyond the graph are included in the section labeled results.

## Summary/Discussion

In experiment one, it was determined through the use of an ANOVA test that there was overall statistical significance between the sets of data. Thus, it became necessary to then utilize a t-test to find whether or not there was statistical significance between the tests. This resulted in the production of p-values that showed statistical significance between all of the data sets for each level of the independent variable.

In experiment two, it was determined through the use of a t-test (due to there being only 2 independent variable levels) that there was no statistical significance between the the two data sets for the levels of the independent variable.

It is odd that in the rat study no statistical significance was found proving the lipopolysaccharide increased levels of LPS in the rats while the opposite was determined for the human study; however, this variation can possibly be explained by the lack of more independent levels and samples per dose of the independent level in the rat study.