I created both a table and graph for this experiment. Summarizing the data in the table was pretty straightforward but making the graph was a big hassle. The biggest difficulty I faced while making the graph was deciding what to compare on the graph. Finally, after a few trials, I decided to go with the sampling trials on the x-axis and the number of all species found in the trials on the y-axis. Three differently coloured curves were used to represent invasive species, grass and other native species. After plotting the graph, the curves turned out to be quite obvious, the density of native species was quite higher in places with low invasive species density and vice versa.
One of the things that I realized after plotting the graph, was not comparing two different plots in the same area. Even though the area was uniform, the plots would have definitely had contrasting differences between them, which if measured and sampled would have revealed even more accurate results. The results I got are fine, but to get more accuracy on how the invasive species are affecting the native species on a larger scale, selecting and sampling multiple random patches in the same area would have definitely helped.
Hello
be sure and call a Graph a figure, like in our studies
note that the predictor variable should be on the X axis, per the discussion in the module
thelast comment could form part of the Discussion re what can be improved in the study
thanks