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) =
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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
Transcribed Image 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 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 0.199. Express the result as a decimal precise to
three places.
P(ô > 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(ê < 0.174) =
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