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A random sample of 1003 adult Americans was asked, "Do you think televisions are a necessity or a luxury you could do without?" Of the 1003 adults surveyed, 521 indicated that televisions are a luxury they could do without. Construct and interpret a 95% confidence interval for the population proportion of adult Americans who believe that televisions are a luxury they could do without out.

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Answer:

The 95% confidence interval is
0.503 < p < 0.535

The interpretation is that there is 95% confidence that the true population proportion lie within the confidence interval

Explanation:

From the question we are told that

The sample size is n = 1003

The number that indicated television are a luxury is k = 521

Generally the sample mean is mathematically represented as


\r p = (k)/(n)


\r p = (521)/(1003)


\r p = 0.519

Given the confidence level is 95% then the level of significance is mathematically evaluated as


\alpha = 100 - 95


\alpha = 5\%


\alpha = 0.05

Next we obtain the critical value of
( \alpha )/(2) from the normal distribution table, the value is


Z_{(\alpha )/(2) } = 1.96

The margin of error is mathematically represented as


E = Z_{(\alpha )/(2) } * \sqrt{ (\r p (1- \r p ))/(n) }

=>
E = 1.96 * \sqrt{ ( 0.519 (1- 0.519 ))/(1003) }

=>
E = 0.016

The 95% confidence interval is mathematically represented as


\r p -E < p < \r p +E

=>
0.519 - 0.016 < p < 0.519 + 0.016

=>
0.503 < p < 0.535

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