| 1. | At 99 % significance level, the critical value is 15.086.
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| 2. | Some of Neyman's later publications reported p-values and significance levels.
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| 3. | The significance level between high levels of poverty and high taxation may be arguable.
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| 4. | The significance level of each hypothesis is 1-0.95 = 0.05
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| 5. | Summarizations based on significance levels are appropriate.
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| 6. | This means that for a given effect size, the significance level increases with the sample size.
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| 7. | In statistical hypothesis testing, a critical value is the value corresponding to a given significance level.
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| 8. | For example, if one observed 20 heterozygotes, the significance level for the test is 0.007.
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| 9. | The significance level of each hypothesis is 1-( 0.95 ) ^ 2 = 0.097
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| 10. | The significance level of each hypothesis is 1-( 0.95 ) ^ 3 = 0.143
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