Which of the following is a TRUE statement about hypothesis testing? Group of answer choices The probability of a Type I error plus the probability of a Type II error always equals one. The power of a test concerns its ability to detect a null hypothesis. If there is sufficient evidence to reject a null hypothesis at the 5% level, then there is sufficient evidence to reject it at the 10% level. Whether to use a one-sided or a two-sided test is typically decided after the data are gathered. If a hypothesis test is conducted at the 1% level, there is a 1% chance of rejecting the null hypothesis.

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Which of the following is a TRUE statement about hypothesis testing?

Group of answer choices
The probability of a Type I error plus the probability of a Type II error always equals one.
The power of a test concerns its ability to detect a null hypothesis.
If there is sufficient evidence to reject a null hypothesis at the 5% level, then there is sufficient evidence to reject it at the 10% level.
Whether to use a one-sided or a two-sided test is typically decided after the data are gathered.
If a hypothesis test is conducted at the 1% level, there is a 1% chance of rejecting the null hypothesis.
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