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Unformatted text preview: The CriticalValue Approach to Hypothesis Testing Recall that for the pvalue 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 onetailed, the calculated probability was our reported “pvalue”. If the hypothesis test was twotailed, we doubled our calculated probability and reported that for our p value. 3. We compared our pvalue to our level of significance for testing ( α ). If our pvalue 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
 Rollins
 Statistics, Null hypothesis, Statistical hypothesis testing, critical value, alternative hypotheses

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