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, ôp, of women in Tara's sample who test positive for HPV-16 is greater than 0.199. Express the result as a decimal precise to three places. P(p > 0.199) = 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 0.174. Express the result as a decimal precise to three places. P(ô < 0.174) =
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, ôp, of women in Tara's sample who test positive for HPV-16 is greater than 0.199. Express the result as a decimal precise to three places. P(p > 0.199) = 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 0.174. Express the result as a decimal precise to three places. P(ô < 0.174) =
Chapter8: Sequences, Series,and Probability
Section8.7: Probability
Problem 11ECP: A manufacturer has determined that a machine averages one faulty unit for every 500 it produces....
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