HIV

Suppose that a 2012 National Health Interview Survey gives the number of adults in” rel=”nofollow”>in the United States which gives the number of adults in” rel=”nofollow”>in the United States (reported in” rel=”nofollow”>in thousands) classified by their age group, and whether or not respondents have ever been tested for HIV.
Discuss probability. What is its history? What is the theory of probability? How is it calculated? What are the advantages and disadvantages of usin” rel=”nofollow”>ing this technique?

Identify and discuss the two major categories of probability in” rel=”nofollow”>interpretations, whose adherents possess conflictin” rel=”nofollow”>ing views about the fundamental nature of probability. Based on this survey, what is the probability that a randomly selected American adult has never been tested? Show your work. Hin” rel=”nofollow”>int: usin” rel=”nofollow”>ing the data in” rel=”nofollow”>in the two total rows, this would be calculated as p (NT) /( p (NT) + p (T)),
where p is probability. What proportion of 18- to 44-year-old Americans have never been tested for HIV?

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