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Suppose a researcher wants to estimate the proportion of children under 12 who have had chicken pox.

How large a sample must be taken to estimate the true proportion of children under 12 who have chicken pox to within 1% with 95% confidence? A pilot study estimated 8.6% of children under 12 have had chicken pox.
You can calculate this value by hand or using the correct Width/Sample Size calculator in StatCrunch. Your answer should be a whole number.

User Tahsin
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1 Answer

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Final answer:

To estimate the proportion of children under 12 with chicken pox within 1% with 95% confidence and using a pilot study estimate of 8.6%, the minimum sample size is approximately 3037 children.

Step-by-step explanation:

To estimate the true proportion of children under 12 who have had chicken pox to within 1% with 95% confidence, you should use the formula for sample size for estimating a population proportion:

n = (Z^2 * p * (1 - p)) / E^2

Where n is the sample size, Z is the z-score corresponding to the confidence level, p is the estimated proportion (from the pilot study), and E is the desired margin of error. From the standard normal distribution, a 95% confidence level corresponds to a z-score of approximately 1.96. The pilot study estimated that 8.6% of children under 12 have had chicken pox, so p = 0.086. The desired margin of error is 1%, or E = 0.01.

Plugging the numbers into the formula:

n = (1.96^2 * 0.086 * (1 - 0.086)) / 0.01^2

Calculating this gives:

n = (3.8416 * 0.086 * 0.914) / 0.0001

n = 303.606656 / 0.0001

n ≈ 3037

Therefore, the minimum sample size that must be taken is approximately 3037 children (rounding up to the next whole number, as you cannot survey a fraction of a child).

User Nicoolasens
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