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You want to obtain a sample to estimate the proportion of a population that possesses a particular genetic marker. Based on previous evidence, you believe approximately p* = 24% of the population possesses this marker. What considerations and methods should you employ when sampling to estimate this proportion accurately?

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Final answer:

When sampling to estimate the proportion of a population possessing a genetic marker, consider representative sampling, determine sample size, and calculate confidence interval.

Step-by-step explanation:

When sampling to estimate the proportion of a population that possesses a particular genetic marker, there are several considerations and methods to employ for accurate estimation:

  1. Choose a representative sample: It is important to select a sample that is representative of the population in terms of relevant characteristics. This can be achieved through random sampling or stratified sampling.
  2. Determine the sample size: The sample size should be large enough to provide a reliable estimate of the population proportion. The required sample size depends on the desired level of confidence and the margin of error.
  3. Calculate the confidence interval: Once the sample data is collected, calculate the sample proportion (p') and use it to construct a confidence interval. This interval represents the range of values within which the true population proportion is likely to fall.

By following these considerations and methods, you can obtain a sample that provides an accurate estimate of the proportion of the population possessing the genetic marker.

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