Respuesta :
Answer:
The confidence interval for the mean is given by the following formula:
[tex]\hat p \pm z_{\alpha/2}\sqrt{\frac{\hat p (1-\hat p)}{n}}[/tex]
And the margin of error is given by:
[tex] ME = 1.96 *\frac{0.87*(1-0.87)}{100} = 0.0659[/tex]
Step-by-step explanation:
Previous concepts
A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".
The margin of error is the range of values below and above the sample statistic in a confidence interval.
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
Solution to the problem
In order to find the critical value we need to take in count that we are finding the interval for a proportion, so on this case we need to use the z distribution. Since our interval is at 95% of confidence, our significance level would be given by [tex]\alpha=1-0.95=0.05[/tex] and [tex]\alpha/2 =0.025[/tex]. And the critical value would be given by:
[tex]z_{\alpha/2}=-1.96, z_{1-\alpha/2}=1.96[/tex]
The confidence interval for the mean is given by the following formula:
[tex]\hat p \pm z_{\alpha/2}\sqrt{\frac{\hat p (1-\hat p)}{n}}[/tex]
And the margin of error is given by:
[tex] ME = 1.96 *\frac{0.87*(1-0.87)}{100} = 0.0659[/tex]
The margin of error at 95% confidence interval is 0.0659
Data;
- n = 100
- confidence level = 95%
- probability = 85%
Margin of Error
To calculate the margin of error, we can use a formula to solve this.
[tex]E = Z_\frac{\alpha }{2} \sqrt{\frac{p(1-p)}{n} }\\E = 0.066[/tex]
At 95% confidence level, we can substitute the value and solve.
[tex]E = 1.960 * \sqrt{\frac{0.87*0.13}{100} }\\E = 0.0659[/tex]
The margin of error at 95% confidence interval is 0.0659
Learn more on margin of error here;
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