63.9k views
5 votes
5. During a national debate on changes to health care, a cable news service performs an opinion poll of 500 small business owners. It shows that 65% of small-business owners do not approve of health care changes. Develop a 95% confidence interval for the proportion opposing health care changes. Use 4 decimal places.

1 Answer

5 votes

Answer:

The 95% confidence interval for the proportion opposing health care changes is (0.6082, 0.6918).

Explanation:

The (1 - α)% confidence interval for the population proportion is:


CI=\hat p\pm z_(\alpha/2)\cdot\sqrt{(\hat p(1-\hat p))/(n)}

The information provided is:


\hat p=0.65\\n=500\\\text{Confidence level}=95\%

The critical value of z for 95% confidence level is:


z_(\alpha/2)=z_(0.05/2)=z_(0.025)=1.96

*Use a z-table.

Compute the 95% confidence interval for the proportion opposing health care changes as follows:


CI=\hat p\pm z_(\alpha/2)\cdot\sqrt{(\hat p(1-\hat p))/(n)}


=0.65\pm 1.96\sqrt{(0.65(1-0.65))/(500)}\\\\=0.65\pm 0.04181\\\\=(0.60819, 0.69181)\\\\\approx (0.6082, 0.6918)

Thus, the 95% confidence interval for the proportion opposing health care changes is (0.6082, 0.6918).

User Heiberg
by
4.6k points