a)
The point estimate of p p p is p = 0.64 p=0.64 p = 0.64
b)
The critical value for α = 0.05 \alpha = 0.05 α = 0.05 is z c = z 1 − α / 2 = 1.96. z_c = z_{1-\alpha/2} = 1.96. z c = z 1 − α /2 = 1.96.
The corresponding confidence interval is computed as shown below:
C I = ( p ^ − z c p ^ ( 1 − p ^ ) n , p ^ + z c p ^ ( 1 − p ^ ) n ) CI=(\hat{p}-z_c\sqrt{\dfrac{\hat{p}(1-\hat{p})}{n}}, \hat{p}+z_c\sqrt{\dfrac{\hat{p}(1-\hat{p})}{n}}) C I = ( p ^ − z c n p ^ ( 1 − p ^ ) , p ^ + z c n p ^ ( 1 − p ^ ) )
= ( 0.64 − 1.96 0.64 ( 1 − 0.64 ) 180 , =(0.64-1.96\sqrt{\dfrac{0.64(1-0.64)}{180}}, = ( 0.64 − 1.96 180 0.64 ( 1 − 0.64 ) ,
0.64 + 1.96 0.64 ( 1 − 0.64 ) 180 ) 0.64+1.96\sqrt{\dfrac{0.64(1-0.64)}{180}}) 0.64 + 1.96 180 0.64 ( 1 − 0.64 ) )
= ( 0.57 , 0.71 ) =(0.57, 0.71) = ( 0.57 , 0.71 )
Therefore, based on the data provided, the 95% confidence interval for the population proportion is 0.57 < p < 0.71 , 0.57 < p < 0.71, 0.57 < p < 0.71 , which indicates that we are
95% confident that the true population proportion p p p is contained by the interval ( 0.57 , 0.71 ) . (0.57, 0.71). ( 0.57 , 0.71 ) .
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