| 1. | A test's probability of making a type I error is denoted by ?.
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| 2. | A systematic review suggested this indicates possible Type I errors.
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| 3. | These errors are called false positives or Type I errors.
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| 4. | Therefore, the smaller the p-value, the lower the probability of committing type I error.
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| 5. | The level of significance or ? is equal the probability of type I error.
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| 6. | Alpha is the probability of making a Type I error.
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| 7. | These issues can result in sampling bias and inflated rates of Type I error.
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| 8. | This leads to a large Type I error rate.
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| 9. | Has anyone else come across this definition of the probability of making a type I error?
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| 10. | Free text searching is likely to retrieve many documents that are not Type I error ).
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