Question #84685

From a random sample of 65 people in a certain town, the proportion who own a bicycle was noted.
From this result an !% confidence interval for the proportion, p, of all people in the town who own a
bicycle was calculated to be 0.284 < p < 0.516.
(i) Find the proportion of people in the sample who own a bicycle. [1]
1

Expert's answer

2019-01-30T10:26:07-0500

Answer on Question #84685 – Math – Statistics and Probability

Question

From a random sample of 65 people in a certain town, the proportion who own a bicycle was noted. From this result an α%\alpha\% confidence interval for the proportion, pp, of all people in the town who own a bicycle was calculated to be 0.284<p<0.5160.284 < p < 0.516.

(i) Find the proportion of people in the sample who own a bicycle.

Solution


μp^=p^=0.284+0.5162=0.4\mu_{\hat{p}} = \hat{p} = \frac{0.284 + 0.516}{2} = 0.4p^(1p^)=65(0.4)(10.4)=15.610\hat{p}(1 - \hat{p}) = 65(0.4)(1 - 0.4) = 15.6 \geq 10


Then the distribution of the sample proportion is approximately normal.

Standard deviation of sampling distribution


σp^=p^(1p^)n=0.4(10.4)650.0608\sigma_{\hat{p}} = \sqrt{\frac{\hat{p}(1 - \hat{p})}{n}} = \sqrt{\frac{0.4(1 - 0.4)}{65}} \approx 0.0608


Confidence interval


CI=p^±zα/2p^(1p^)nCI = \hat{p} \pm z_{\alpha/2} \sqrt{\frac{\hat{p}(1 - \hat{p})}{n}}zα/2=0.5160.40.4(10.4)651.9090z_{\alpha/2} = \frac{0.516 - 0.4}{\sqrt{\frac{0.4(1 - 0.4)}{65}}} \approx 1.9090P(Z1.9090)0.971869P(Z \leq 1.9090) \approx 0.971869Pvalue=2(10.971869)0.0563.P - value = 2 \cdot (1 - 0.971869) \approx 0.0563.


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