A survey of 100 randomly selected homes from a large city with over 30,000 homes showed that 93 of the

sampled homes had a television. Lana wants to use this data to create a one-sample z interval to estimate the

proportion of all homes in the city that have a television.

Respuesta :

Answer:

The 95% confidence interval for the population proportion is (0.88, 0.98).

Step-by-step explanation:

We have to calculate a 95% confidence interval for the proportion.

The sample proportion is p=0.93.

[tex]p=X/n=93/100=0.93[/tex]

The standard error of the proportion is:

[tex]\sigma_p=\sqrt{\dfrac{p(1-p)}{n}}=\sqrt{\dfrac{0.93*0.07}{100}}\\\\\\ \sigma_p=\sqrt{0.00065}=0.0255[/tex]

The critical z-value for a 95% confidence interval is z=1.96.

The margin of error (MOE) can be calculated as:

[tex]MOE=z\cdot \sigma_p=1.96 \cdot 0.0255=0.05[/tex]

Then, the lower and upper bounds of the confidence interval are:

[tex]LL=p-z \cdot \sigma_p = 0.93-0.05=0.88\\\\UL=p+z \cdot \sigma_p = 0.93+0.05=0.98[/tex]

Answer:

A and C

Step-by-step explanation:

I did khan