8.4. Population Proportion
Let
be the random
variable with possible values
and
is the population
proportion.
Also, assume the sample size
is large
(
).
Derivation of
confidence
interval:
Since
. Thus,
.
Then,

confidence interval:
Suppose the sample size is
large. By estimating
by
and thus
estimating
by
, a
confidence
interval for
is

Example 4:
A survey conducted by
Ferrell Calvillo Communications indicated 397 of 902
women golfers
were satisfied with the
availability of tee times. Please construct a 95% confidence interval
for the proportion of the
population of the women golfers being satisfied with availability of
tee times?
[solution:]
![]()

Determining the sample size:
Let
the desired margin of error be
.
Thus,
.
can be estimated by
1.
Using the sample proportion from a previous sample.
2.
Using “judgment” or a “best guess” for the value ![]()
3.
Use ![]()
Example 4 (continue):
In the above example, how
large should the sample be if we want to obtain a margin of error
of 0.025 at a 95% confidence level in a new survey?
[solution:]
By
estimating
by the sample
proportion
in the previous
survey, thus,

Therefore,
a sample of 1515 women golfers is recommended!!
JavaStatSoft:
Confidence
interval:
Statistics
-> Estimation -> One Sample -> Proportion and Count