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Unformatted text preview: The Critical-Value Approach to Hypothesis Testing Recall that for the p-value approach to hypothesis testing we: 1. Stated the null and alternative hypotheses 2. Calculated the probability of observing a sample statistic as contrary to the null hypothesis as what we did observe from our sample data. If the hypothesis test was one-tailed, the calculated probability was our reported “p-value”. If the hypothesis test was two-tailed, we doubled our calculated probability and reported that for our p- value. 3. We compared our p-value to our level of significance for testing ( α ). If our p-value was less than α, we rejected the null hypothesis. Otherwise, we could not reject the null hypothesis. In the critical value approach to hypothesis testing we do the following: 1. State the null and alternative hypotheses 2. Write down the “critical value” of the test statistic and the corresponding “decision rule” 3. Determine the “calculated value” of the test statistic....
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- Fall '09
- Statistics, Null hypothesis, Statistical hypothesis testing, critical value, alternative hypotheses