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There are two ways that an error can be described when wrongly rejecting the null hypothesis. They are Type I and Type II errors. I saw this diagram in a book and adapted it to my understanding: A Type 1 error occurs when the null hypothesis is rejected, when in fact it is true. A Type II error accepts the null hypothesis when, in fact, it is false. In other words, the researcher **fails to reject** the null hypothesis.