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. P(p < 0.169) = Source: adapted from Stone, K. M.;Karem, K.L.; Sternberg, M.R.; McQuillan, G.M.; Poon, A.D.; Unger, E.R.; Reeves, W.C. Seroprevalence of Human Papillomavirus Type 16 Infection in the United States. 2002, The Journal of Infectious Diseases 186 (10): 1396-1402. http://dx.doi.org/10.1086/344354.https://academic.oup.com/jid/article-lookup/doi/10.1086/344354 (accessed August 11, 2017)

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< Question 3 of 10 >
Ø Attempt 2
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 of n = 1000
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) =
0.0130
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.
Transcribed Image Text:< Question 3 of 10 > Ø Attempt 2 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 of n = 1000 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) = 0.0130 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.
P(p > 0.206) =
0.0130
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.
P(p < 0.169) =
%3D
Source: adapted from Stone, K. M.;Karem, K.L.; Sternberg, M.R.; McQuillan, G.M.; Poon, A.D.; Unger, E.R.; Reeves, W.C. Seroprevalence of Human
Papillomavirus Type 16 Infection in the United States. 2002, The Journal of Infectious Diseases 186 (10): 1396–1402.
http://dx.doi.org/10.1086/344354.https://academic.oup.com/jid/article-lookup/doi/10.1086/344354 (accessed August 11, 2017)
Transcribed Image Text:P(p > 0.206) = 0.0130 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. P(p < 0.169) = %3D Source: adapted from Stone, K. M.;Karem, K.L.; Sternberg, M.R.; McQuillan, G.M.; Poon, A.D.; Unger, E.R.; Reeves, W.C. Seroprevalence of Human Papillomavirus Type 16 Infection in the United States. 2002, The Journal of Infectious Diseases 186 (10): 1396–1402. http://dx.doi.org/10.1086/344354.https://academic.oup.com/jid/article-lookup/doi/10.1086/344354 (accessed August 11, 2017)
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