Sample Results

Here you can get an idea of the results you'll recieve and how to organize them

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For testing nitrate levels, we collected data by making rough data tables of our raw data in our notebooks, and condensing them into one master written copy. One way to organize your data would put your raw data into simplified charts that include the average and p values. P values would be useful to calculate because they determine for you wether or not a difference in your data is statistically significant. For example if your P-value is .204 or less than you can be 79.6 percent or more certain that a difference in your data is a significant difference and not due to human error or slight changes. In environmental feild research a p-value of .204 or less is what to look for and be expected.

You can easily obtain P-values by entering raw data lists into your calculater and running 2 Sample T tests (see Troubleshooting for a more specific calculater guide)

In terms of graphic analysis, there are 2 different types you can use in terms of the type of data you have. If your data is discreet, like our data is, a bar graph is what is best

  That or a line graph can express discreet data.  Once your graph is made, this will make it easier for you to analyze the data, look for patterns, and draw conclusions.


An example of our raw data table and how we orgnized it


Our P-Value Table For Day 1


Our Nitrate Graph in Parts per Million