Test 1.docx - Hypothesis Testing An inferential method...

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Hypothesis Testing An inferential method which requires an unambiguous claim. In this method we have null and alternative hypothesis. --Uses the sample statistic to make inferences about the entire population mean-- Null Hypothesis A claim about population parameters, and is identified by the symbol H0 H0 = Null Hypothesis Alternative Hypothesis Opposite of the null hypothesis, is identified by H1 H1 = Alternative Hypothesis Null vs. Alternative Hypothesis Either one is always true. When one is true, it makes the other false. Rejecting the Null Hypothesis --We reject the null hypothesis when there is sufficient evidence from the sample data that the null hypothesis is false. --Failure to reject the null hypothesis does not prove that it is true. We can only conclude that there is insufficient evidence to warrant its rejection. = , <(or equal to) , >(or equal to) Null Hypothesis =(does not equal) , > , < Alternative Hypothesis Rejected Null Hypothesis Alternative Hypothesis is true If the sample mean is far from the stated (claimed) population mean... Reject H0 If the sample mean us close to the stated (claimed) population mean...
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  • Fall '08
  • Staff
  • Statistics, Null hypothesis, Statistical hypothesis testing, Type I and type II errors

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