Answer:
82.30%
Explanation:
Given
n = Sample Size = 100
Confidence Interval Proportion = (0.565,0.695)
The sample proportion lies at exactly the middle of the confidence interval and is calculated by:
p = (0.565 + 0.695)/2
p = 1.26/2
p = 0.63
Next, we'll solve for the boundaries of the confidence interval.
This is given by:
p ± zα/2 * √p(1-p)/n
p ± zα/2 * √p(1-p)/n = 0.695 where p = 0.63
So, we have
0.63 + zα/2 * √(0.63(1 - 0.63)/100) = 0.695 ------ Subtract 0.63 from both sides
zα/2 * √((0.63 * 0.37)/100) = 0.695 - 0.63
zα/2 * √((0.63 * 0.37)/100) = 0.065
zα/2 * 0.048 = 0.065
zα/2 = 0.065/0.048
zα/2 = 1.346301159669266
zα/2 = 1.35 -----; Approximated
The confidence interval is the probability that the sample proportion is between -zα/2 and zα/2 (-1.35 and 1.35).
This can be solved using normal probability table. Such that
Confidence Interval = P(-1.35 < Z < 1.35)
= P(Z<1.35) - P(Z<-1.35)
= 0.9115 - 0.0885
= 0.8230
= 82.30%