The United States Centers for Disease Control and Prevention (CDC) found that 17.9% of women ages 12-59 test seropositive for HPV-16. Suppose that Tara, an infectious disease specialist, assays blood...


The United States Centers for Disease Control and Prevention (CDC) found that 17.9% of women ages 12-59 test seropositive<br>for HPV-16. Suppose that Tara, an infectious disease specialist, assays blood serum from a random sample ofn = 1000<br>%3D<br>women in the United States aged 12-59.<br>Apply the central limit theorem for the distribution of a sample proportion to find the probability that the proportion, p, of<br>women in Tara's sample who test positive for HPV-16 is greater than 0.206. Express the result as a decimal precise to<br>three places.<br>P(p > 0.206) =<br>Apply the central limit theorem for the distribution of a sample proportion to find the probability that the proportion of<br>women in Tara's sample who test positive for HPV-16 is less than 0.169. Express the result as a decimal precise to<br>three places.<br>

Extracted text: The United States Centers for Disease Control and Prevention (CDC) found that 17.9% of women ages 12-59 test seropositive for HPV-16. Suppose that Tara, an infectious disease specialist, assays blood serum from a random sample ofn = 1000 %3D women in the United States aged 12-59. Apply the central limit theorem for the distribution of a sample proportion to find the probability that the proportion, p, of women in Tara's sample who test positive for HPV-16 is greater than 0.206. Express the result as a decimal precise to three places. P(p > 0.206) = Apply the central limit theorem for the distribution of a sample proportion to find the probability that the proportion of women in Tara's sample who test positive for HPV-16 is less than 0.169. Express the result as a decimal precise to three places.

Jun 04, 2022
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