# BME100 f2014:Group31 L2

### From OpenWetWare

BME 100 Fall 2014 | Home People 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 Photos Wiki Editing Help
| |||||||

## OUR TEAM## LAB 2 WRITE-UP## Descriptive Statistics
0 mg: Mean-3.834, Std. Dev-1.52301018, Count-10, Std. Error-0.48161811 5 mg: Mean-8.932, Std. Dev-1.59393155, Count-10, Std. Error-0.50404541 10 mg: Mean-61.622, Std. Dev-30.1106939, Count-10, Std. Error-9.52183745 15 mg: Mean-657.941, Std. Dev-212.942976, Count-10, Std. Error-67.3384817
0 mg: Mean-10.516, Std. Dev-2.22555162, Count-5, Std. Error-0.99529694 10 mg: Mean-11.112, Std. Dev-7.40288592, Count-5, Std. Error-3.31067123
## GraphingIn the first experiment tested on Humans, the conclusion can be lead that from 10 mg to 15 mg, there was a significant change of protein levels. In the first experiment tested on Rats, the conclusion can be lead that there is no significant change of LPS levels in rats corresponding to Protein intake.
## Inferential Statistics
For the human experiment, an ANOVA test will be used, since there were four dosages that were tested, which is more than two.
Group: 5.23, Count: 9, Sum: 33.11, Average: 3.678888889, Variance: 2.338836111 Group: 10.72, Count: 9, Sum: 78.6, Average: 8.733333333, Variance: 2.414175 Group: 100.19, Count: 9, Sum: 516.03, Average: 57.33666667, Variance: 813.3897 Group: 793.17, Count: 9, Sum: 5786.24, Average: 642.9155556, Variance: 48472.95523
Between Groups, SS: 2607705.519, df: 3, MS: 869235.173, F: 70.53891752, P-Value: 3.39557E-14, F-crit: 2.90111958 Within Groups, SS: 394328.7835, df: 32, MS: 12322.77448 Total, SS: 3002034.302, df: 35 The P-Value obtained from the ANOVA single factor test was less than .05. This means that there is a statistically significant difference between treatments. A Bonferroni Post-Hoc Test was done to verify the results, doing multiple t-tests between each dosage compared to all other dosages.
0mg v 5mg 8.59631E-07 0mg v 10mg 9.94377E-06 0mg v 15mg 1.39436E-08 5mg v 10mg 3.01859E-05 5mg v 15mg 1.57101E-08 10mg v 15mg 6.4824E-08
Based on the Post ANOVA t-tests, all p-values are less than .00833, which means that at every dosage, there was a statistically significant difference in inflammotin levels.
For the rat experiment, a t-test will be used, since there are two dosages being tested. Furthermore, the data is among two unrelated sets of data, so it is clear that we need to use an unpaired test. Unpaired T-Test p-value: For the unpaired t-test run on the rat experiment, the p-value was determined to be 0.8674035, which is greater than .05. Therefore, there is no statistical difference between the groups. Since there are only two variables, no adjustment of the p-level is needed.
## Summary/DiscussionBased on these results, there was a significant difference in protein levels for all the human tests as dosage increased. On the other hand, there was no significant difference within the rat experiment as dosage increased. Therefore, we concluded that as LPS dosage increases, inflammotin levels rise in humans and only on humans. In comparison, an increase in LPS levels in rats did not create a statistically significant change in the levels of the same protein. |