lec6.4 - 149 Lecture 15: CHAPTER 6: HYPOTHESIS TESTING In...

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149 Lecture 15: CHAPTER 6: HYPOTHESIS TESTING In Section 6.1, I described a method for testing a hypothesis about a population mean, based on a large sample. Recall the null and alternative hypothesis: Null and alternative hypotheses: A null hypothesis is a hypothesis set up to be nullified or refuted in order to support an alternative hypothesis. When used, the null hypothesis is presumed true until statistical evidence in the form of a hypothesis test indicates otherwise. Usually the alternate hypothesis is the possibility that an observed effect is genuine. We denote the null hypothesis as H 0 and the alternative hypothesis as H a or H 1 .The final conclusion once the test has been carried out is always given in terms of the null hypothesis. We either “reject H 0 in favour of H 1 ” or “do not reject H 0 ”; we never conclude “reject H 1 ”, or even “accept H 1 ”. Null Hypothesis ( H 0 ) If the original claim includes one of   , , , it is the null hypothesis. If the original claim does not include one of  , , then the null hypothesis is the complement of the original claim. The null hypothesis
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This note was uploaded on 06/20/2011 for the course STAT 2800 taught by Professor Paula during the Winter '11 term at UOIT.

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lec6.4 - 149 Lecture 15: CHAPTER 6: HYPOTHESIS TESTING In...

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