Question #67670

Wildlife biologists inspect 152 deer taken by hunters and find 24 of them carrying ticks that test positive for Lyme disease.
​a) Create a​ 90% confidence interval for the percentage of deer that may carry such ticks.
1

Expert's answer

2017-05-07T09:20:09-0400

Answer on Question #67670 – Math – Statistics and Probability

Question

Wildlife biologists inspect 152 deer taken by hunters and find 24 of them carrying ticks that test positive for Lyme disease.

a) Create a 90% confidence interval for the percentage of deer that may carry such ticks.

Solution

The point estimate for the population proportion


p^=xn=24152=0.158\hat{p} = \frac{x}{n} = \frac{24}{152} = 0.158


The standard error


SE=p^(1p^)n=0.158(10.158)152=0.030SE = \sqrt{\frac{\hat{p}(1 - \hat{p})}{n}} = \sqrt{\frac{0.158(1 - 0.158)}{152}} = 0.030


The critical values

The 90% confidence level corresponds to α=0.10\alpha = 0.10. To determine the confidence interval one needs to find the critical value zα2=z0.05z_{\frac{\alpha}{2}} = z_{0.05}. The z-score associated with the given probability value can be either obtained from the standard normal table or calculated using the technology:


z0.05=1.645z_{0.05} = 1.645


The margin of error is


E=zα2SE=1.6450.030=0.049E = z_{\frac{\alpha}{2}} SE = 1.645 \cdot 0.030 = 0.049


Lower endpoint =p^E=0.1580.049=0.109= \hat{p} - E = 0.158 - 0.049 = 0.109

Upper endpoint =p^+E=0.158+0.049=0.207= \hat{p} + E = 0.158 + 0.049 = 0.207

The 90% confidence interval for population proportion is (0.109, 0.207).

The 90% confidence interval for population percentage is (10.9%, 20.7%).

Answer: (10.9%, 20.7%).

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