Five hundred eleven (511) homes in a certain southern California community are randomly surveyed to determine if they meet minimal earthquake preparedness recommendations. One hundred seventy-eight (178) of the homes surveyed met the minimum recommendations for earthquake preparedness and 333 did not. Find the confidence interval at the 90% confidence level for the true population proportion of southern California community homes meeting at least the minimum recommendations for earthquake preparedness. (Round your answers to three decimal places.)

Respuesta :

Answer:

The confidence interval at the 90% confidence level for the true population proportion of southern California community homes meeting at least the minimum recommendations for earthquake preparedness is (0.3136, 0.3830).

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 interval [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

Z is the zscore that has a pvalue of [tex]1 - \frac{\alpha}{2}[/tex].

For this problem, we have that:

511 homes were surveyed, of which 178 met the minimum recommendations for earthquake preparedness. This means that [tex]n = 511[/tex] and [tex]p = \frac{178}{511} = 0.3483[/tex].

Find the confidence interval at the 90% confidence level for the true population proportion of southern California community homes meeting at least the minimum recommendations for earthquake preparedness.

So [tex]\alpha = 0.10[/tex], z is the value of Z that has a pvalue of [tex]1 - \frac{0.10}{2} = 0.95[/tex], so [tex]z = 1.645[/tex].

The lower limit of this interval is:

[tex]\pi - z\sqrt{\frac{\pi(1-\pi)}{n}} = 0.3483 - 1.645\sqrt{\frac{0.3483*0.6517}{511}} = 0.3136[/tex]

The upper limit of this interval is:

[tex]\pi + z\sqrt{\frac{\pi(1-\pi)}{n}} = 0.3483 + 1.645\sqrt{\frac{0.3483*0.6517}{511}} = 0.3830[/tex]

The confidence interval at the 90% confidence level for the true population proportion of southern California community homes meeting at least the minimum recommendations for earthquake preparedness is (0.3136, 0.3830).

The confidence interval at the 90% confidence level for the true population proportion of southern California for the interval (0.3136, 0.3830)

What is a z-score?

The z-score is a numerical measurement used in statistics of the value's relationship to the mean of a group of values, measured in terms of standards from the mean.

Five hundred eleven (511) homes in a certain southern California community are randomly surveyed to determine if they meet minimal earthquake preparedness recommendations.

One hundred seventy-eight (178) of the homes surveyed met the minimum recommendations for earthquake preparedness and 333 did not.

P = 178/511 = 0.3483

The confidence interval at the 90% confidence level for the true population proportion of southern California community homes meets at least the minimum recommendations for earthquake preparedness.

n = 511

The value of z for the confidence level of 90%

[tex]z = 1 - \dfrac{\alpha }{2} = 1 - \dfrac{0.90}{2} = 0.55[/tex]

Then we have

[tex]p \pm z\sqrt{\dfrac{p(1-p)}{n}}[/tex]

The lower limit of this interval will be

[tex]0.3485 - 0.55\sqrt{\dfrac{0.3483(1-0.3483)}{511}} =0.3136[/tex]

The upper limit of this interval will be

[tex]0.3485 + 0.55\sqrt{\dfrac{0.3483(1-0.3483)}{511}} =0.3830[/tex]

More about the z-score link is given below.

https://brainly.com/question/13299273