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Why do we test the null hypothesis and only accept the alternative hypothesis if we are...

Why do we test the null hypothesis and only accept the alternative hypothesis if we are able to reject the null hypothesis?

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The results we obtain from research are based on probability. We can never be fully certain that our study yields 100 percent accurate data. This is because we work with samples and not populations, and can never study variables in complete isolation. Therefore, we can only say with a certain level of confidence, such as 95 percent or 99 percent, that a null hypothesis is not true.

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