Which of the following statements about alpha levels are true (there may be more

Question

Which of the following statements about alpha levels are true (there may be more than one correct answer)? The alpha level is always set at .05 unless a one-tailed test is used. An alpha of .05 means that there are 5 chances in 100 that sampling error alone would have produced a difference at least as large as the one observed. The lower the alpha level set (e.g., .001 vs. .05), the smaller the sample size needed detect a significant result. The smaller the alpha level set (.01 vs. .05) the less likely you are to reject the null hypothesis when it is, indeed, true (Type I error)

Explanation / Answer

2. An alpha level of 0.05 means that there are 5 chances out of 100 that sampling error alone would have produced a difference at least as large as the one observed.

4. The smaller the alpha level set ,the less likely to reject the null hypothesis when it is indeed true.

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