A police officer would like to estimate the proportion of petty theft cases that have gone unsolved in a large city. He takes a random sample of 72 petty theft cases and finds 45 of these have gone unsolved.
Set up the equation for the 90% confidence interval for p.
Format: Estimate ± Crit. Value times x Standard Error

Respuesta :

Answer:

[tex]0.625 \pm 1.645*0.0571[/tex]

Step-by-step explanation:

In a sample with a number n of people surveyed with a probability of a success of [tex]\pi[/tex], and a confidence level of [tex]1-\alpha[/tex], we have the following confidence interval of proportions.

[tex]\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}[/tex]

In which

[tex]\pi[/tex] is the estimate

z is the zscore that has a pvalue of [tex]1 - \frac{\alpha}{2}[/tex], also called the critical value.

The standard error is:

[tex]s = \sqrt{\frac{\pi(1-\pi)}{n}}[/tex]

90% confidence level critical value

So [tex]\alpha = 0.1[/tex], z is the value of Z that has a pvalue of [tex]1 - \frac{0.1}{2} = 0.955[/tex], so [tex]z = 1.645[/tex].

Estimate:

72 petty theft cases and finds 45 of these have gone unsolved.

So [tex]\pi = \frac{45}{72} = 0.625[/tex]

Standard error:

[tex]s = \sqrt{\frac{\pi(1-\pi)}{n}} = \sqrt{\frac{0.625*0.375}{72}} = 0.0571[/tex]

Answer:

[tex]0.625 \pm 1.645*0.0571[/tex]