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Hiv infection among intravenous drug users. Found that 40% light users and 55% were heavy users were HIV positive.
1) Suppose we have a group of 10 light users and 10 heavy users. What is the probability that exactly 3 of 20 users are HIV positive.
2) Probability that at least 4 of the 20 users are HIV positive?
3) Is the distribution of the nmber of HIV possitive among the 20 users binomial? Why or Why not?
scores on a standard test are normally distributed with a mean of 104 and a standard deviation of 15. an individuals
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If HIV virus is actually present, the probability that ELIA test will give a positive result from ELISA is .01. If ELISA has given a positive result, use the Bayes' theorem to find the probability that the HIV virus is actually present.
What is the probability that a randomly selected grapefruit will have a diameter of at least 4.14 inches?
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Two balanced dice are rolled and the number of dots facing up is added. Find the probability that the sum is 10 or 12.
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