When comparing two sets of data; it is important to first know if the two sets are significantly different from one another. Fore, if they are not, there is no real point in comparing them. This is where a T test comes in. A T test will provide a hypothesis, such as - the means of the two data sets are different; and then test that hypothesis.
Upon assignment I preformed a T test with the following two data sets:
> supporters = c(12,13,21,17,20,17,23,20,14,25)
> Non supporters = c(16,20,14,21,20,18,13,15,17,21).
These sets represent samples of a population of 150,000 and their opinions about support for a congressman's idea regarding libraries.
The importance here is not the particular data, but the process by which it can be analyzed using R.
As the results below show, R can be used to run a T test by entering the data sets and then typing "t.test" and hitting enter. As the screen shot shows, it is important to not leave a space when you data set name has more than one word in it.
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