25.3k views
5 votes
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
by
7.9k points

1 Answer

3 votes

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
by
8.5k points

No related questions found

Welcome to QAmmunity.org, where you can ask questions and receive answers from other members of our community.

9.4m questions

12.2m answers

Categories