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An alpha error of 5% means that:
The correct interpretation is:
There is a 5% probability that you will mistakenly reject the null hypothesis, when it is correct.
This is based on the typical understanding of a 5% significance level in hypothesis testing, which means that you are willing to accept a 5% chance of making a Type I error.
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