# Stonefly Pushups Essay

1076 Words 5 Pages
The figure below shows how stonefly pushups increase at low oxygen stress and then decrease at the high oxygen stress to where they are similar to the control. The difference between the middle bar and the first bar is significant, as the error bars would not overlap. The pattern makes sense because as the organisms were stressed, they did more pushups, but at extreme oxygen deprivation, they are unable to do as many pushups. Figure 1. Differences in average number of pushups (n=43) for small individuals of the Common Stonefly (order) found in a mixed hardwood forest in Pennsylvania, that were exposed to three different oxygen levels. Treatment 1 (a) was the highest oxygen treatment; treatment 2 (b) was the median oxygen treatment; and treatment …show more content…
Correlation between Oxygen Level and Number of Pushups performed by small individuals of the common stonefly (order) (n=129) with corresponding regression data in a scatter plot format. The regression line equation is y=0.4073x+38.847, and the r2 value is 0.0011, which signifies that the relationship between the oxygen level and the number of pushups performed by the common stonefly is not significant.

Although, we originally expected the relationship between soil and air temperature to be one of the strongest, we later discovered that this thinking was because of an error. Both farenheit and celsius temperatures were included in the original data. When this error is corrected, there is no statistical relationship between soil temperature and air temperature. Figure 4. Correlation between Air Temperature and Soil Temperature (both in degrees Celsius) from 15 samples at 4 locations (Green Lee, Croyle Run, Roaring Run, and Standing Stone) with corresponding regression data in a scatter plot format. The regression line equation is y=0.244x+11.189, and the r2 value is 0.0597, which signifies, despite prior thought, that the relationship between air temperature and soil temperature is not actually