I'm probably wrong but I think A.
Answer:
The level of significance is the
b. maximum allowable probability of Type I error.
Step-by-step explanation:
The significance level provides the maximum probability of rejecting the null hypothesis when it is true. It is the same as a type I error (also known as false-positive). This error occurs when a researcher or investigator rejects a true null hypothesis that is supposed to be accepted. It is the opposite of a type II error (false-negative), which occurs when the researcher fails to reject a false null hypothesis.
Answer: C. (3,-2) (-6,-9) (-6,9) (-9,6) (9,6)
Answer:
132
Step-by-step explanation:
calculator says so.
Answer:
550
4 + 4 + 8 + 8 + 10 + 16 + (50 x 10)
Step-by-step explanation:
