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Suppose you are a heterosexual white male and are going to be tested to see if you are HIV positive. Assume that if you are HIV positive, your test will always come back positive. Assume that if you are not HIV positive, there is still a 0.001 chance that your test will indicate that you are HIV positive. In reality, 1 out of 10,000 heterosexual white males is HIV positive. Your doctor calls and says that you have tested HIV positive. He is sorry but there is a 99.9% (1-0.001) chance that you have HIV. Is he correct? What is the actual probability that you are HIV positive?
Describe the types of probability -example of classical probability, empirical probability, or subjective probability.
If Kim expects to use phone for 21 hours per month, which plan must she choose?
Identify the sampling distribution to be used: the standard normal distribution or the Student's t distribution. Find the critical value(s).
Given the following raw scores, calculate the following values: Range, Variance and Standard Deviation, show your calculations: Scores: 9, 7, 8, 4, 8, 8,7, 8, 9, 6, 3
The mean return for a random sample of 33 mutual funds is 14.93 percent with a standard deviation of 9.57. Build a 95 percent confidence interval for mu, population mean.
Use Excel and the data to test whether the mean alcohol expenditures for UCM students is equal to that of SBU students using a 1 % level of significance.
The number of degrees of freedom for the appropriate chi-square distribution in a test of independence is:
The publisher reports that 80% of college professors require or recommend that their students purchase some type of textbook package.
The mean amount of time a (unnamed) computer server is down is 18.3 minutes with a standard deviation of 5.7 minutes.
Based on these data, determine the 95 percent confidence interval estimate for true population mean?
Suppose that the mean of the annual return for common stocks from 2000 to 2012 was 8.5%, and the standard deviation of the annual return was 25.2%.
The random variable x is known to be uniformly distributed between 1.0 and 1.5.
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