Answer:
The answer is "0.54 and (0.4733, 0.6067)".
Step-by-step explanation:
Please find the complete question in the attachment file.
In question 1:
[tex]\to x=81\\\\ \to n=150\\\\ \to \hat{p}=\frac{x}{n}=\frac{81}{150}=0.54\\\\[/tex]
Hence the choice A is correct.
In point b:
Calculating Critical Value:
[tex]\to (Z_{\alpha/2})=1.64 \ \ \ \ \ \ \ \ \ \ (use \ \ z\ \ table)\\\\[/tex]
Calculating the Confidence intervals:
[tex]=\hat{p} \pm Z_{\alpha/2}\times \sqrt{\frac{\hat{p} \times (1-\hat{p}))}{n}}\\\\ =0.54 \pm 1.64\times \sqrt{\frac{0.0.54 \times (1-0.54)}{150}}\\\\ =0.54 \pm 0.0667\\\\ =(0.4733, 0.6067)\\\\[/tex]
Hence the choice a is correct.
The correct confidence interval is (0.4733, 0.6067).
The z critical test is conducted when the population standard deviation on a normal distribution is known and the sample size is greater than or equal to 30.
x = 81
n = 150
p = x/n =81/ 150
p = 0.54
So, the correct choice is A.
In point b
Critical Value:
[tex]Z_{\alpha /2} = 1.64[/tex]
the Confidence intervals:
= p±[tex]Z_{\alpha /2} \times \sqrt{\frac{p \times (1-p)}{n} }[/tex]
= 0.54 ± [tex]\\1.64 \times \sqrt{\frac{0.54 \times (1-0.54)}{150} }[/tex]
= 0.54 ± 0.0667
= (0.4733, 0.6067)
Hence, the choice A is correct.
Therefore, the correct confidence interval is (0.4733, 0.6067).
Learn more about critical value:
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