Help me study for my Statistics class. I’m stuck and don’t understand.
A bottle contains a label stating that it contains pills with 500 mg of vitamin C, and another bottle contains a label stating that it contains pills with 325 mg of aspirin. When testing claims about the mean contents of the pills, which would have more serious implications: rejection of the vitamin C claim or rejection of the aspirin claim? Considering only a type I error and using the same sample size, is it wise to use the same significance level for hypothesis tests about the mean amount of vitamin C and the mean amount of aspirin?
Rejection of the claim about ▼
aspirin
vitamin C
is more serious because the wrong
▼
aspirin
vitamin C
dosage could cause more serious adverse reactions than a wrong
▼
vitamin C
aspirin
dosage. It would be wise to use a
▼
larger
smaller
significance level for testing the claim about the aspirin.
I’ll send photos