Answer: The lower bound is 0.26 and the upper bound is 0.34.
Step-by-step explanation:
Formula to find the confidence interval for population proportion (p) is given by :_
[tex]\hat{p}\pm z^* \sqrt{\dfrac{\hat{p}(1-\hat{p})}{n}}[/tex]
, where n= sample size
z* = Critical value. (two-tailed)
[tex]\hat{p}[/tex] = Sample proportion.
Let p be the true population proportion of hits to at bats for the entire team during the last season.
As per given , we have
n= 300
[tex]\hat{p}=0.30[/tex]
By z-table , the critical value for 90% confidence interval : z* = 1.645
Now , 90% confidence interval for the proportion of hits to at bats for the entire team during the last season:
[tex]0.30\pm (1.645) \sqrt{\dfrac{0.30(1-0.30)}{300}}[/tex]
[tex]0.30\pm (1.645) \sqrt{0.0007}[/tex]
[tex]0.30\pm (1.645) (0.0264575131106)[/tex]
[tex]\approx0.30\pm0.0435[/tex]
[tex]=(0.30-0.0435,\ 0.30+0.0435)\\\\=(0.2565,\ 0.3435)\approx(0.26,\ 0.34)[/tex]
The lower bound is 0.26 and the upper bound is 0.34.