can anyone explain this why answer d - scorpion17

[ArchivalUser]

10. A report of a clinical trial of a new drug •for herpes simplex II versus a placebo noted that
the new drug gave a higher proportion of success than the placebo. The report ended with
the statement: chi-sq = 4.72; p

[ArchivalUser]

Where is the rest of Q?

Stop using "less-than symbol" & type it.

Anyhow;I think its old Kaplan Q

I’m gone preach generalize info you can figure the Q for yourself
Hypothesis usually tangle a null/Ho and alternative/H0 (ex, the drug INeffective) alpha & that’s what we are interested when we write the hypothesis. That been said if we look at p value & understanding alpha tattoo the probability of make that type I error that is = to the P value that’s typically associated with statistical result . Our P is judges against a present alpha level significance an usually 0.05 & if that “P” LESS than 0.05 -> there would be less than 5% chance data will paint you something not really there another word; that data mistakenly shown affect or difference shown or none exist.


So , tests use α 0.05 then X test are highly prone -> @ least 1 type 1 error/ reject the null hyp & that med -> INEFFECTIVE.

Fin

[ArchivalUser]

thanks a lot