ABSTRACT

The sample size required to detect a difference between a test proportion,

p

,

and a standard proportion value,

p

, is calculated from

f f f− 2 (for > 2)

y C p p n x

y e m x

=

!

n z p p z p p

p p =

−( ) − −( ) −

  

  

1 1

where

z

is the two-tailed

z

-value from the standard normal curve for the desired level of significance and

z

is the lower one-tailed

z

-value selected for the power required (probability of rejecting the null hypothesis when it should be rejected).