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Unformatted text preview: IV. Sign test on SPSS V. Submit computer assignments 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
- Null hypothesis, Type I and type II errors, hypothesis testing logic, III. Possible hypothesis