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License: GNU General Public License v3.0
I noticed that the definition of Alpha (α) is incorrectly stated as the probability of a Type II error occurring. This is a crucial mistake that can lead to confusion and misunderstanding of hypothesis testing concepts.
Alpha (α) is the probability of a Type I error occurring, which is the probability of rejecting a true null hypothesis.
To correct this issue, I suggest changing the definition of Alpha (α) under the We Need More Power! ⚡️ sub-heading to the following: "Alpha (α) is the probability of a Type I error occurring and is generally set to 5%".
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