document.write( "Question 1170302: A medical test has been designed to detect the presence of a certain disease. Among those who
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document.write( "have the disease, the probability that the disease will be detected by the test is 0.96. However,
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document.write( "the probability that the test will erroneously indicate the presence of the disease in those who
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document.write( "do not actually have it is 0.03. It is estimated that 95% of the population who take this test do
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document.write( "not have the disease.
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document.write( "a. Construct a tree diagram for the above information.
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document.write( "b. If a test is administered to an individual, what is the probability that the test is positive?
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document.write( "c. If a test administered to an individual is negative, what is the probability that the person
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document.write( "actually has the disease? \n" );
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Algebra.Com's Answer #851228 by CPhill(1959)![]() ![]() You can put this solution on YOUR website! Absolutely! Let's break down this problem step by step.\r \n" ); document.write( "\n" ); document.write( "**a. Constructing the Tree Diagram**\r \n" ); document.write( "\n" ); document.write( "* **Branches:** \n" ); document.write( " * The first set of branches will represent whether a person has the disease or not. \n" ); document.write( " * The second set of branches will represent the test result (positive or negative). \n" ); document.write( "* **Notation:** \n" ); document.write( " * D = Has the disease \n" ); document.write( " * D' = Does not have the disease \n" ); document.write( " * + = Test is positive \n" ); document.write( " * - = Test is negative \n" ); document.write( "* **Probabilities:** \n" ); document.write( " * P(D') = 0.95 (95% do not have the disease) \n" ); document.write( " * P(D) = 1 - P(D') = 1 - 0.95 = 0.05 (5% have the disease) \n" ); document.write( " * P(+|D) = 0.96 (probability of positive test given the disease) \n" ); document.write( " * P(-|D) = 1 - P(+|D) = 1 - 0.96 = 0.04 (probability of negative test given the disease) \n" ); document.write( " * P(+|D') = 0.03 (probability of positive test given no disease) \n" ); document.write( " * P(-|D') = 1 - P(+|D') = 1 - 0.03 = 0.97 (probability of negative test given no disease)\r \n" ); document.write( "\n" ); document.write( "Here's the tree diagram:\r \n" ); document.write( "\n" ); document.write( "``` \n" ); document.write( " / + (0.96) \n" ); document.write( " D (0.05) \n" ); document.write( " / \ - (0.04) \n" ); document.write( " / \n" ); document.write( " / \n" ); document.write( " / \n" ); document.write( "Start ------------------- \n" ); document.write( " \ \n" ); document.write( " \ \n" ); document.write( " \ / + (0.03) \n" ); document.write( " D' (0.95) \n" ); document.write( " \ - (0.97) \n" ); document.write( "```\r \n" ); document.write( "\n" ); document.write( "**b. Probability of a Positive Test**\r \n" ); document.write( "\n" ); document.write( "To find the probability of a positive test, we need to consider both cases: having the disease and not having the disease.\r \n" ); document.write( "\n" ); document.write( "* P(+) = P(D and +) + P(D' and +) \n" ); document.write( "* P(+) = P(D) * P(+|D) + P(D') * P(+|D') \n" ); document.write( "* P(+) = (0.05 * 0.96) + (0.95 * 0.03) \n" ); document.write( "* P(+) = 0.048 + 0.0285 \n" ); document.write( "* P(+) = 0.0765\r \n" ); document.write( "\n" ); document.write( "Therefore, the probability that the test is positive is 0.0765.\r \n" ); document.write( "\n" ); document.write( "**c. Probability of Having the Disease Given a Negative Test**\r \n" ); document.write( "\n" ); document.write( "We need to find P(D|-). We'll use Bayes' Theorem:\r \n" ); document.write( "\n" ); document.write( "* P(D|-) = [P(-|D) * P(D)] / P(-)\r \n" ); document.write( "\n" ); document.write( "First, let's find P(-):\r \n" ); document.write( "\n" ); document.write( "* P(-) = P(D and -) + P(D' and -) \n" ); document.write( "* P(-) = P(D) * P(-|D) + P(D') * P(-|D') \n" ); document.write( "* P(-) = (0.05 * 0.04) + (0.95 * 0.97) \n" ); document.write( "* P(-) = 0.002 + 0.9215 \n" ); document.write( "* P(-) = 0.9235\r \n" ); document.write( "\n" ); document.write( "Now, let's apply Bayes' Theorem:\r \n" ); document.write( "\n" ); document.write( "* P(D|-) = [(0.04) * (0.05)] / 0.9235 \n" ); document.write( "* P(D|-) = 0.002 / 0.9235 \n" ); document.write( "* P(D|-) ≈ 0.0021656\r \n" ); document.write( "\n" ); document.write( "Therefore, the probability that a person has the disease given a negative test is approximately 0.0021656. \n" ); document.write( " \n" ); document.write( " |