What is the relationship between the probability of a Type I error and the significance level of a test?
- It depends on the sample size
- There is no relationship
- They are directly proportional
- They are inversely proportional
The probability of a Type I error (false positive) is the same as the significance level of a test. A significance level of 0.05, for instance, means there's a 5% chance of rejecting a true null hypothesis (Type I error).
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