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Sample Results

 


Example Data Table and Graphs

Here is a way you can organize your data table:
MUNSELL SCALE FERRIC IRON (ppm)
SITE QUAD SAMPLE TOP MIDDLE BOTTOM TOP MIDDLE BOTTOM
1 1 a 7.5 YR 2.5/3 N/A 10 YR 5/4 5 N/A 16.25
b 10 YR 3/4 N/A 10 YR 4/4 16.25 N/A 7.5
c 10 YR 4/1 10 YR 4/3 10 YR 5/6 62.5 16.25 16.25
2 1 a 7.5 YR 2.5/2 N/A 7.5 YR 5/8 7.5 N/A 16.25
b 7.5 YR 2.5/2 N/A 7.5 YR 4/6 20 N/A 5
c 7.5 YR 2.5/1 N/A 7.5 YR 5/4 16.25 N/A 16.25
3 1 a 10 YR 2/2 N/A 10 YR 3/4 0 N/A 16.25
b 10 YR 2/2 N/A 7.5 YR 2.5/3 1.25 N/A 1.25
c 10 YR 4/4 N/A N/A 1.25 N/A N/A
4 1 a 2.5 YR 3/2 N/A 10 YR 2/1 62.5 N/A 62.5
b 10 YR 4/2 N/A 10 YR 4/2 0 N/A 1.25
c 7.5 YR 2.5/1 N/A N/A 5 N/A N/A

This graph was created by adding up each munsell value that was the same for each site. Beacause te number of samples that had the same munsell value was the dependent variable, it was placed on the y-axis while the site was placed on the x-axis.



The following graph was created by adding up the iron levels for the soil samples of each site and then dividing them by the total number of soil samples tested for iron. Because the iron levels are the dependent variable, it was placed on the y-axis while the site was placed on the x-axis.




In order to create the following graph, the munsell values for each soil sample were placed in one column of a data table while the corresponding iron values were placed in the other. In order to get a single munsell value for how dark the soil was, all the didgets of the original munsell value were added. For example, "10 YR 5/4" simply became "19" because the 10, 5, and 4 were added together. Because the iron levels are the dependent variable, it was placed on the y-axis while the munsell value was placed on the x-axis.



Here is a way you can construct your data table:

T-Test Results for Iron
Sites Compared P-Value
1 and 2 0.58
2 and 4 0.53
3 and 4 0.02