Which of the following statements about alpha levels are true (there may be more
ID: 3272393 • Letter: W
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.