The Residential Energy Consumption Survey found in 2001 that 47% of American households had internet access. A market survey organization repeated this study in a certain town with 25,000 households, using a simple random sample of 500 households: 239 of the sample households had internet access. Of the 500 sample households, 7 had three or more large-screen TVs. Among the sample households, 121 had no car, 172 had one car, and 207 had two or more cars. Estimate the percentage of households in the town with one or more cars; attach a standard error to the estimate. If this is not possible, explain why not.

Respuesta :

The percentage of households in the town with internet access is estimates as 47.8%, give or take 2.2% or so.

According to statement we have given

239 of the 500 households in the sample had internet access.

So, find sample percentage then

Sample percentage= 500/239 =0.478=47.8%

Thus we estimate the percentage as 47.8%.

The box contains 25,000 tickets of which 47.8% are 1's and the remaining 52.2% tickets are 0's. We will draw 500 tickets from the box.

Number of draws=500

Now, find the SD then

[tex]SD= (Big number - Small number) * \sqrt{Fraction with big number * fraction with small number}[/tex]

Substitute the values then

[tex]SD= (1 - 0) * \sqrt{0.478 *0.522}[/tex]

[tex]SD=0.4995[/tex]

Now find the standard error of sum then

The standard error of the sum is the product of the square root of the number of draws and the standard deviation of the box.

[tex]SE sum =\sqrt{Number of draws} * SD box[/tex]

[tex]SE sum =\sqrt{500} * 0.4995[/tex]

[tex]SE sum =11.16[/tex]

Now find the standard error of percentage then

The standard error of the percentage is the standard error for the sum divided by the sample size.

SE percentage= SE for number/Number of draws ×100%

= 50011.1692×100%

≈0.022×100%

=2.2%

Thus the percentage of households in the town with internet access is estimates as 47.8%, give or take 2.2% or so.

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