Why Can Type I Error and Type II Error Not

question 2

Multiple Choice

Why can Type I error and Type II error not be both present for one given hypothesis?

• A)Power analysis makes one type of error less likely.
• B)One refers to rejecting the null hypothesis when it is true and the other to accepting it when it is false.
• C)As beta rises, alpha falls.
• D)The researcher sets both the alpha level and the beta level.
• E)Qualitative research does not use power analysis.

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