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What is the standard error for the sample proportion of individuals who had acne in their adolescent years?

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Final answer:

The standard error for the sample proportion of individuals who had acne in their adolescent years can be calculated using a formula involving the sample proportion and sample size.

Step-by-step explanation:

The standard error for the sample proportion (SE) of individuals who had acne in their adolescent years can be calculated using the formula SE = √(p(1 - p) / n), where p is the sample proportion and n is the sample size. To find the sample proportion, ideally one would be given the number of individuals with acne (the number of successes in the sample) and the total number of individuals in the sample (sample size). The standard error for the sample proportion of individuals who had acne in their adolescent years can be calculated using the formula:

Standard Error = sqrt((p * (1 - p)) / n)

Where p is the sample proportion and n is the sample size.

For example, if the sample proportion is 0.2 and the sample size is 100, the standard error would be:

Standard Error = sqrt((0.2 * (1 - 0.2)) / 100) = 0.04

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