Answer: [tex](0.0228\ ,0.0706)[/tex]
Step-by-step explanation:
Given : Sample size : n= 300
The sample proportion of defectives : [tex]\hat{p}=\dfrac{14}{300}=0.0467[/tex]
Significance level for 95% confidence level =[tex]\alpha=1-0.95=0.05[/tex]
Critical z-value:[tex]z_{\alpha/2}=\pm1.96[/tex]
Confidence interval for population proportion :
[tex]\hat{p}\pm z_{\alpha/2}\sqrt{\dfrac{\hat{p}(1-\hat{p})}{n}}[/tex]
[tex]= 0.0467\pm (1.96)\sqrt{\dfrac{0.0467(1-0.0467)}{300}}[/tex]
[tex]\approx\ 0.0467\pm 0.0239\\\\=(0.0467-0.0239\ , \ 0.0467-0.0239)\\\\=(0.0228\ ,0.0706)[/tex]
Hence, a 95% two-sided confidence interval on the fraction of defective circuits produced by this particular tool= [tex](0.0228\ ,0.0706)[/tex]