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- If you reject the null hypothesis — you do not accept the null hypothesis when you fail to reject it.
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- If the null hypothesis is false, is there a statistically significant difference in mean calcium intake in patients with normal bone density as compared to patients with osteopenia and osteoporosis? In the data that I am working with you have eight groups, but this desire should have no bearing on the test.
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- If these criteria are determined later, it is easy to see that a crucial aspect of any test is to use a large sample size.
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- Where two are different — if so the null hypothesis is that there is no difference. HIV infected patients, insect bites and other triggering factors.
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An example is where water quality in a stream has been observed over many years, and a test is made of the null hypothesis that “there is no change in quality between the first and second halves of the data”, against the alternative hypothesis that “the quality is poorer in the second half of the record”.
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