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Also if you can help me with these othe questions I am very confused by this whole thing 1) Using the above values of prevalence,

Also if you can help me with these othe questions I am very confused by this whole thing 1) Using the above values of prevalence, sensitivity, and specificity, fill in the following chart based on 10000 children being testedfor strep. Have Strep. | Do Not Have Strep. | TotalTestPositive. ___________|________________________|________for StrepTestNegative. ______________|________________________|_______for StrepTotal _____________________|___________________ |100002) Out of the 10,000 children, how many of them have strep?3) Out of those children with strep, how many are correctly identified?4) How many children have strep, but are missed in testing?5) Out of the 10,000 children, how many do NOT have strep?6) Of those children without strep, how many are correctly identified as not having strep?7) Out of the 10,000 children, how many are False Positives?8) Out of the 10,000 children, how many are False Negatives?9) Out of the 10,000 children, how many are True Positives?10) Out of the 10,000 children, how many are True Negatives?11) Out of the 10,000 children, how many tested positive for strep?12) Out of the 10,000 children, how many tested negative for strep?13) Now back to the original question in the first paragraph:What is the probability that your child really has strep given that the test was positive? When we make ourcalculation, we will be finding the Positive Predictive Value (PPV) of the test. What is the PPV for this test? your answer as a percentage (without the % symbol). Round your answer to one decimal place.14) Now find the Negative Predictive Value (NPV), which is the probability that your child doesn't have strep given thattheir test was negative. Enter your answer as a percentage (without the % symbol). Round your answer to onedecimal place.

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Understanding conditional probability is useful when we test positive for disease or illness because testing positive doesn't necessarily mean we have the disease. For example, suppose you take your child to the doctor for a sore throat and a rapid strep test comes back positive. What is the probability that your child really has strep? The test could be wrong or the test could be right. What is the chance? This lab will explore how to understand those probabilities. Consider the following facts regarding Strep Throat in children and the Rapid Strep Test from Pediatrics Vol. 126 No. 3 (September 2010) and MedicineNet.com (9/17/13): . The prevalence, or incidence rate, of strep in children who present with sore throat is 37%. . The sensitivity of the rapid strep test is 95%. . The specificity of the rapid strep test is 98%. Define, prevalence, sensitivity, and specificity and determine what each of their percentages means in the context of of the Rapid Strep Test

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