Yes, the p-value is P(X ≥ 5) ≈ 0.007, which rejects H0 for α = 0.05.
Inspection must produce independent outcomes with constant chance p for finding a defect.
z ≈ 3.5 > 1.645 standard errors above H0. Reject H0 for α = 0.05.
The expected number of events is too small. Use binomial methods.
H0: p ≤ 0.6 versus Ha: p > 0.6; p is the proportion of markets selling out.
A Type I error implies adding an unnecessary delivery (incorrectly reject H0). A Type II error occurs if we fail to reject H0 when it's false, missing an opportunity.
Approximately P(Z > 2,438) = 0.0074. Yes.
H0: p ≥ 0.33 versus Ha: p < 0.33; p is the proportion of all visitors who will indicate a willingness to return.
(b) A Type I error implies intervening ...