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Our last example is a one-tailed test. In that example we were
simply considering the idea that the population mean was larger then
some number. So we would reject the null hypothesis if we had large
values of tree mortality.
A two-tailed test is used when a research hypothesis is
stated as the following:
Example
Tree mortality following fire will be equal to 60%.
Where as our null hypothesis would read tree mortality following
fire is not equal to 60%.
Under this scenario we could reject our research hypothesis if
tree mortality was much larger then 60 or much smaller than 60.
It is important to note that the tests we have gone over so far
are only concerned with comparing the mean of one group to some
number. They do not consider comparing the means of two groups to
each other! |
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