Embedded Files
Chemical Testing Data
Chemical Testing Data
The first graph is a visual representation of the average phosphorous in parts-per-million for each tree over the course of all three days. Both non-living trees had more available phosphorous in the surrounding areas than the living trees.
The second graph shows the average sulfur for each tree. Unlike the phosphorous, the sulfur data is not as consistent, with the non-living trees having both the highest and lowest average sulfur.
The table below displays the phosphorus and sulfur levels of each tree measured in ppm. It The middle and last column show the combined total average of the living and trees and the combined total average of the non-living trees.
Biological Testing Data
Biological Testing Data
The "Mean Yeast and Mold Count" graph shows the comparisons of the yeast and mold averages. The mold is represented by red and the yeast is represented by the blue. The yeast population is much higher on the non-living trees than the living trees. The mold population is roughly distributed evenly throughout the whole site, making the average mold similar throughout all the trees.
The first two columns of the below graph are the average fungi populations for living trees 1 and 2 individually while the third column is the combined average of the living trees. This is the same for non-living trees 3 and 4, as well as their combined average in the last column. Both the combined yeast and mold averages are greater in the area surrounding non-living trees, although this is not the case for the averages of the individual trees.
Ts = Calculated T-test value
x̄ = The mean of either group 1 or 2
s = Standard deviation
n = the total number of samples in both groups
T-testing
T-testing
Once your data has been collected, it is often helpful to run a T-test! This test compares the means and standard deviations of two sets of data to see if there is a significant difference between the two. The T-test formula can be seen to the left. This specific T-test is known as a Two Sample T-test, and if the calculated value is less than the value on the Two Sample T-test chart (which can be found online), it is a null hypothesis, meaning there is no difference between the groups. If the number is greater, it is an alternate hypothesis, and there is a significant difference between the two.
Phosphorus
Phosphorus
The above table presents the result of the T-test comparing the phosphorus level in the soil between living and dead trees. This test supports the alternate hypothesis, meaning that there is a statistically significant difference between the average available phosphorus surrounding living and non-living trees. This supports our hypothesis.
Sulfur
Sulfur
This table shows the T-testing results comparing the sulfur availability between living and non-living trees. The results from the t-test came up as the null hypothesis, meaning that the sulfur levels between living and non-living trees is not statistically different. This does not support our hypothesis.
Yeast
Yeast
This table shows the T-test comparison of the yeast population in living and non-living trees. The T-test results came back in support of the alternate hypothesis, meaning there is a significant difference in yeast populations between living and non-living trees. This supports our hypothesis.
Mold
Mold
The above table depicts the result of the T-test comparing the mold populations between living and non-living trees. This test supports the null hypothesis, meaning that there is no significant difference between the average number of mold colonies surrounding living and non-living trees. This does not support our hypothesis.
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