An Online Catalog Company Wants On-Time Delivery for at Least $\mathrm { H } _ { 0 } : p > 0.90$

An online catalog company wants on-time delivery for at least 90% of the orders they ship. They
Have been shipping orders via UPS and FedEx but will switch to a more expensive service
(ShipFast) if there is evidence that this service can exceed the 90% on-time goal. As a test the
Company sends a random sample of orders via ShipFast, and then makes follow-up phone calls to
See if these orders arrived on time. Which hypotheses should they test?

A) $\mathrm { H } _ { 0 } : p > 0.90$
$\mathrm { H } _ { \mathrm { A } } : p = 0.90$
B) $\mathrm { H } _ { 0 } : p < 0.90$
$\mathrm { H } _ { \mathrm { A } } : p = 0.90$
C) $\mathrm { H } _ { 0 } : p = 0.90$
$\mathrm { H } _ { \mathrm { A } } : p > 0.90$
D) $\mathrm { H } _ { 0 } : p = 0.90$
$\mathrm { H } _ { \mathrm { A } } : p < 0.90$
E) $\mathrm { H } _ { 0 } : p = 0.90$
$\mathrm { H } _ { \mathrm { A } } : p \neq 0.90$