Respuesta :
Answer: (0.545, 0.647)
Step-by-step explanation:
Let p be the population proportion of all dies that pass the probe.
Given : An article reported that, in a study of a particular wafer inspection process, 356 dies were examined by an inspection probe and 212 of these passed the probe.
i.e.Sample size : n= 356
Sample proportion of all dies that pass the probe: [tex]\hat{p}=\dfrac{212}{356}\approx0.596[/tex]
Critical value for 95% confidence interval ( Using z-value table) :
[tex]z=1.96[/tex]
Now, the 95% (two-sided) confidence interval for the proportion of all dies that pass the probe will be :
[tex]\hat{p}\pm z\sqrt{\dfrac{\hat{p}(1-\hat{p})}{n}}[/tex]
i.e. [tex]0.596\pm (1.96)\sqrt{\dfrac{0.596(1-0.596)}{356}}[/tex]
i.e. [tex]0.596\pm (1.96)(0.026)[/tex]
[tex]\approx0.596\pm 0.051=(0.596-0.051,\ 0.596+0.051)\\\\=(0.545,\ 0.647)[/tex]
Hence, the 95% (two-sided) confidence interval for the proportion of all dies that pass the probe.= (0.545, 0.647)
The 95% (two-sided) confidence interval for the proportion of all dies that pass the probe is: 0.647; 0.545.
Confidence interval
Sample proportion = 212/356
Sample proportion =0.596
z-score for 95% confidence interval=1.96
Confidence interval=√p(1-p)/n
Confidence interval=0.596±(1.96)√0.596(1-0.596)/356
Confidence interval=0.596±(1.96)√0.596(0.404)/356
Confidence interval=0.596±(1.96)√0.240784/356
Confidence interval=0.596±(1.96)√0.00067635955
Confidence interval=0.596±(1.96) 0.026
Confidence interval=(0.596+0.051); (0.596-0.051)
Confidence interval=0.647; 0.545
Inconclusion the 95% (two-sided) confidence interval for the proportion of all dies that pass the probe is: 0.647; 0.545.
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