document.write( "Question 1192522: (1 point) It is estimated that approximately 8.37% Americans are afflicted with diabetes. Suppose that a certain diagnostic evaluation for diabetes will correctly diagnose 98% of all adults over 40 with diabetes as having the disease and incorrectly diagnoses 3% of all adults over 40 without diabetes as having the disease.\r
\n" ); document.write( "\n" ); document.write( " a) Find the probability that a randomly selected adult over 40 does not have diabetes, and is diagnosed as having diabetes (such diagnoses are called \"false positives\").\r
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\n" ); document.write( "\n" ); document.write( " b) Find the probability that a randomly selected adult of 40 is diagnosed as not having diabetes.\r
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\n" ); document.write( "\n" ); document.write( " c) Find the probability that a randomly selected adult over 40 actually has diabetes, given that he/she is diagnosed as not having diabetes (such diagnoses are called \"false negatives\").\r
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\n" ); document.write( "(Note: it will be helpful to first draw an appropriate tree diagram modeling the situation)
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Algebra.Com's Answer #848976 by CPhill(1959)\"\" \"About 
You can put this solution on YOUR website!
Certainly, let's break down the problem and find the probabilities.\r
\n" ); document.write( "\n" ); document.write( "**a) Probability of a False Positive**\r
\n" ); document.write( "\n" ); document.write( "* **False Positive:** This occurs when an individual *does not* have diabetes but is *incorrectly* diagnosed as having it.\r
\n" ); document.write( "\n" ); document.write( "* **Calculation:**
\n" ); document.write( " * Probability of not having diabetes: 1 - 0.0837 = 0.9163
\n" ); document.write( " * Probability of false positive diagnosis given no diabetes: 0.03\r
\n" ); document.write( "\n" ); document.write( " * Probability of false positive = 0.9163 * 0.03 = **0.0275**\r
\n" ); document.write( "\n" ); document.write( "**b) Probability of Being Diagnosed as Not Having Diabetes**\r
\n" ); document.write( "\n" ); document.write( "* **This involves two scenarios:**
\n" ); document.write( " * 1. **True Negative:** Individual does not have diabetes and is correctly diagnosed as not having it.
\n" ); document.write( " * Probability: 0.9163 (probability of not having diabetes) * 0.97 (probability of correct diagnosis given no diabetes) = 0.8895\r
\n" ); document.write( "\n" ); document.write( " * 2. **False Negative:** Individual has diabetes but is incorrectly diagnosed as not having it.
\n" ); document.write( " * Probability: 0.0837 (probability of having diabetes) * 0.02 (probability of incorrect diagnosis given diabetes) = 0.0017\r
\n" ); document.write( "\n" ); document.write( " * **Total Probability of Being Diagnosed as Not Having Diabetes:** 0.8895 + 0.0017 = **0.8912**\r
\n" ); document.write( "\n" ); document.write( "**c) Probability of False Negative**\r
\n" ); document.write( "\n" ); document.write( "* **False Negative:** As defined above, this is the probability of having diabetes but being incorrectly diagnosed as not having it.\r
\n" ); document.write( "\n" ); document.write( "* **Calculation:**
\n" ); document.write( " * From part (b), we calculated the probability of a false negative as 0.0017.\r
\n" ); document.write( "\n" ); document.write( " * To find the conditional probability of actually having diabetes given that the diagnosis is negative:
\n" ); document.write( " * Probability of false negative / Probability of being diagnosed as not having diabetes
\n" ); document.write( " * = 0.0017 / 0.8912
\n" ); document.write( " * = **0.0019**\r
\n" ); document.write( "\n" ); document.write( "**In summary:**\r
\n" ); document.write( "\n" ); document.write( "* a) Probability of false positive: 0.0275
\n" ); document.write( "* b) Probability of being diagnosed as not having diabetes: 0.8912
\n" ); document.write( "* c) Probability of false negative: 0.0019\r
\n" ); document.write( "\n" ); document.write( "**Key takeaway:** While the diagnostic test is generally accurate, there's still a small but significant risk of false positives and false negatives.
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