A federal report stated that 88% of children under 18 were covered by health insurance in 2000. How large a sample is needed to estimate the true proportion of covered children with 90% confidence with a confidence interval of .05 wide?

2 Answers
Apr 15, 2018

n=115

Explanation:

Do you mean with a margin of error of 5%?

The formula for a confidence interval for a proportion is given by ˆp±ME, where ME=z* SE(ˆp).

  • ˆp is the sample proportion
  • z* is the critical value of z, which you can obtain from a graphing calculator or a table
  • SE(ˆp) is the standard error of the sample proportion, which can be found using ˆpˆqn, where ˆq=1ˆp and n is the sample size

We know that the margin of error should be 0.05. With a 90% confidence interval, z* 1.64.

ME=z* SE(ˆp)

0.05=1.640.880.12n

We can now solve for n algebraically. We get n114.2, which we round up to 115 because a sample size of 114 would be too small.

We need at least 115 children to estimate the true proportion of children who are covered by health insurance with 90% confidence and a margin of error of 5%.

Apr 15, 2018

458

Explanation:

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