Suppose a steroid test is 81% sensitive and 85% specific. That is, the tes will produce 81% true positive results for steroid users and 85% true negative results for non-steroid users. Suppose that 2.8% of people are steroid users. If a randomly selected individual tests negative, what is the probability he or she is a steroid user? YOUR ANSWER SHOULD BE BETWEEN O AND 100 AND ROUNDED TO 4 DECIMAL PLACES. (e.g. 59.5321 would be 59.5321%)
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- The accompanying table shows the results from a test for a certain disease. Find the probability of selecting a subject with a negative test result, given that the subject has the disease. What would be an unfavorable consequence of this error? The probability is (Round to three decimal places as needed.) What would be an unfavorable consequence of this error? O A. The test would be shown to be not effective. OB. The test would be shown to be not reliable. O C. The subject would experience needless stress and additional testing. O D. The subject would not receive treatment and could spread the disease. The individual actually had the disease Yes Positive 343 Negative 10 No 9 1148Pisa Pizza, a seller of frozen pizza, is considering introducting a healthier version of its pizza that will be low in cholesterol and contain no trans fats. The firm expects that sales of new pizza will be $20 million per year. While many of these sales will be to new customers, Pisa Pizza estimaes that 40% will come from customers who switch to the new, healthier pizzai nstead of buying the original version. a) Assume cusotmer will spend the same amount on either version. What level of incremental sales is associated with introducing the new pizza? b) Suppose that 50% of hte cusomters who will switch from Pisa Pizza's orignial pizza to its healthier pizza will switch to another brand if Pisa PIzza does not introduce a healthier pizza. What level of incremental sales is associated with introducing the new pizza in this case?JUST ANSWER SUBPART 1 There are two individuals, Individual A and Individual B. Individual A has an income (Y) of 500 million Rupiah per year. If Individual A is sick, he will lose 25% of his income. Meanwhile, Individual B has an income (Y) of 100 million Rupiah per year, and if Individual B is sick, he will lose 75% of his income. The probability of Individual A and Individual B being sick is the same, which is 10%. If the satisfaction level of Individual A and Individual B is determined by their income level, based on the following function U(Y)=ln Y, would Individual A and Individual B prefer not to have health insurance? Explain Faced with fair actuarially insurance, how much premium is offered to Individual A? Is the premium rate offered the same for Individual B? Explain with the support of graphic illustrations. The government decides to provide compulsory health insurance with a premium rate for Individual A and Individual B, which is 2% of the income of each individual. In…
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