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Unformatted text preview: such that if the null hypothesis is false the alternative hypothesis must be true Alpha level ( α ): 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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 Spring '08
 JamesAntes
 Null hypothesis, Hypothesis testing, Statistical hypothesis testing, Type I and type II errors

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