Which of the following is TRUE?
A) a error and b error are completely complementary in that a + b always equals one.
B) A Type I or $\alpha$ error occurs when a false null hypothesis is not rejected.
C) A Type II or ß error occurs when a true null hypothesis is rejected.
D) When it is said that the difference between two numbers (e.g., two means) is significant at the 5 percent level, it means there is only a 5% chance that the difference is the wrong amount.
E) All of the above statements are false.

Question

Quizplus · Accepted Answer

Each statement contains inaccuracies regarding statistical errors and significance levels: A) a + b does not always equal one as they are not complementary in that sense. B) A Type I error is actually when a true null hypothesis is incorrectly rejected, not failing to reject a false null hypothesis. C) A Type II error occurs when a false null hypothesis is not rejected, not when a true null hypothesis is rejected. D) Saying a difference is significant at the 5 percent level means there's a 5% chance of wrongly rejecting the null hypothesis if it's true, not that there's a 5% chance the difference is the wrong amount.

Which of the Following Is TRUE? A) a Error and B

Which of the Following Is TRUE?
A) a Error and B