How do you write a data analysis to a science experiment?
Dec.11, 2008 in
Uncategorized
qwerty asked:
Just like what are the key things you should have in it? And how is it different from a conclusion?
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Just like what are the key things you should have in it? And how is it different from a conclusion?
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Tags: data analysis, partition recovery, econometric data analysis, restore deleted files, recover data



















December 12th, 2008 at 1:51 pm
Your data analysis is literally what is sounds like. its taking a few pieces of data (or thousands of pieces of data) and manipulating it so that you can draw conclusions.
For instance, if you have taken 10 temperatures, the temperatures are purely data. Now if the temperature are increasing, decreasing, or following some curve, then the observation that their is a trend is data analysis. With only a few pieces of data, it is usually intuitively obvious which is why this is challenging for many people. When you have thousands of pieces of data, then it isn’t so obvious.
As another example, when I was in college, we had to do an experiement where we recorded hundreds of temperatures of a swimming pool that a small nuclear reactor was in. The data appeared to be random. The data analysis I performed, was to graph the data. By graphing, it was easier to see the trend. Based on the trend, I developed equations the followed the curve. This was all data analysis. The conclusion was that I could determine reactor power from measuring the swimming pool temperature.
For a science experiement, the conclusion is a short paragraph (supported by the data analysis) which either supports or rejects the original hypothesis.