February 29, 2008

February 29, 2008 - such that if the null hypothesis is...

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February 29 Outline I. The logic of hypothesis testing A. Hypotheses 1. Alternative hypothesis (H 1 ) 2. Null hypothesis (H 0 ) B. Testing the null hypothesis 1. Compute chance probability from sample results 2. Compare with alpha level 3. Decision a. Reject H 0 (accept H 1 ) b. Retain H 0 II. Illustration of hypothesis testing logic with the sign test
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Alternative hypothesis (H 1 ): the hypothesis that claims that the effect on the dependent variable is due to the independent variable Null hypothesis (H 0 ): the hypothesis that whatever effects there are on the dependent variable are NOT due to the independent variable but due to chance; the logical counterpart of the alternative hypothesis,
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Unformatted text preview: such that if the null hypothesis is false the alternative hypothesis must be true Alpha level ( ): the level to which the experimenter wishes to limit the probability of rejecting the null hypothesis when it is true (Type I error) Type I error: a decision to reject the null hypothesis when it is true (to conclude that the results are due to the independent variable, when in fact they are due to chance) Type II error: a decision to retain the null hypothesis when it is false (to conclude that the results are due to chance, when in fact they are due to the independent variable)...
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February 29, 2008 - such that if the null hypothesis is...

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