{"id":57673,"date":"2025-08-27T17:50:58","date_gmt":"2025-08-27T12:20:58","guid":{"rendered":"https:\/\/e-gmat.com\/blogs\/?p=57673"},"modified":"2025-09-05T00:08:36","modified_gmt":"2025-09-04T18:38:36","slug":"in-tests-for-pironoma-a-serious-disease-a-false-positive-result-indi","status":"publish","type":"post","link":"https:\/\/e-gmat.com\/blogs\/in-tests-for-pironoma-a-serious-disease-a-false-positive-result-indi\/","title":{"rendered":"In tests for pironoma, a serious disease, a false positive result indicates that people….."},"content":{"rendered":"A <\/span> 4<\/span> min read <\/span><\/span>\n

In tests for pironoma, a serious disease, a false positive result indicates that people have pironoma when, in fact, they do not; a false negative result indicates that people do not have pironoma when, in fact, they do. To detect pironoma most accurately, physicians should use the laboratory test that has the lowest proportion of false positive results.<\/p>\n\n\n\n

Which of the following, if true, gives the most support to the recommendation above?<\/p>\n\n\n\n

A. The accepted treatment for pironoma does not have damaging side effects.<\/p>\n\n\n\n

B. The laboratory test that has the lowest proportion of false positive results causes the same minor side effects as do the other laboratory tests used to detect pironoma.<\/p>\n\n\n\n

C. In treating pironoma patients, it is essential to begin treatment as early as possible, since even a week of delay can result in loss of life.<\/p>\n\n\n\n

D. The proportion of inconclusive test results is equal for all laboratory tests used to detect pironoma.<\/p>\n\n\n\n

E. All laboratory tests to detect pironoma have the same proportion of false negative results.<\/p>\n\n\n\n

Solution<\/h2>\n\n\n\n

Passage Analysis:<\/h3>\n\n\n\n
Text from Passage<\/strong><\/td>Analysis<\/strong><\/td><\/tr>
In tests for pironoma, a serious disease, a false positive result indicates that people have pironoma when, in fact, they do not; a false negative result indicates that people do not have pironoma when, in fact, they do.<\/em><\/td>What it says:<\/strong> Explains two types of test errors – false positives (test says you have the disease but you don’t) and false negatives (test says you don’t have it but you do)
What it does:<\/strong> Sets up the medical testing context and defines key terms we need to understand
What it is:<\/strong> Author’s definitions\/background information
Visualization:<\/strong> 100 people tested: False positive = healthy person told “you have pironoma”, False negative = sick person told “you’re healthy”<\/td><\/tr>
To detect pironoma most accurately, physicians should use the laboratory test that has the lowest proportion of false positive results.<\/em><\/td>What it says:<\/strong> Doctors should pick the test that gives the fewest false positives to be most accurate
What it does:<\/strong> Makes a specific recommendation about test selection based on one type of error from the definitions
What it is:<\/strong> Author’s main recommendation\/conclusion
Visualization:<\/strong> If Test A gives 5 false positives per 100 tests and Test B gives 15 false positives per 100 tests, choose Test A<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Argument Flow:<\/h3>\n\n\n\n

“The argument first defines the two types of testing errors, then immediately jumps to a recommendation that focuses only on minimizing false positives without explaining why false negatives don’t matter.”<\/p>\n\n\n\n

Main Conclusion:<\/h3>\n\n\n\n

“Physicians should use the laboratory test that has the lowest proportion of false positive results to detect pironoma most accurately.”<\/p>\n\n\n\n

Logical Structure:<\/h3>\n\n\n\n

“The argument provides definitions as background, then states a conclusion about test selection. However, there’s a logical gap – we’re told about both false positives AND false negatives, but the recommendation only considers false positives. The argument doesn’t explain why minimizing false positives (rather than false negatives or both) leads to the most accurate detection.”<\/p>\n\n\n\n

Prethinking:<\/h3>\n\n\n\n

Question type:<\/h4>\n\n\n\n

Strengthen – We need to find information that makes the recommendation (use tests with lowest false positive rates) more believable and well-founded<\/p>\n\n\n\n

Precision of Claims<\/h4>\n\n\n\n

The recommendation is about test selection strategy – specifically choosing tests based on minimizing one type of error (false positives) while ignoring the other type (false negatives)<\/p>\n\n\n\n

Strategy<\/h4>\n\n\n\n

Since the author recommends focusing only on false positive rates, we need to strengthen this by showing why false positives are more problematic than false negatives, or why minimizing false positives leads to better overall accuracy. We should look for scenarios that justify prioritizing false positive reduction over false negative reduction in the context of pironoma testing<\/p>\n\n\n\n

Answer Choices Explained<\/h3>\n\n\n\n

A. The accepted treatment for pironoma does not have damaging side effects.<\/p>\n\n\n\n

This choice tells us that pironoma treatment doesn’t have damaging side effects. While this might make false positives less harmful (since unnecessary treatment wouldn’t hurt patients), it doesn’t strengthen the core recommendation about test selection strategy. The argument is about choosing the most accurate test, not about treatment consequences. This doesn’t address why we should focus on false positive rates rather than false negative rates or overall accuracy.<\/p>\n\n\n\n

B. The laboratory test that has the lowest proportion of false positive results causes the same minor side effects as do the other laboratory tests used to detect pironoma.<\/p>\n\n\n\n

This choice discusses side effects of the laboratory tests themselves, stating that the recommended test (lowest false positives) has the same minor side effects as other tests. This information is irrelevant to the argument’s logic about accuracy and test selection. We’re concerned with diagnostic accuracy, not procedural side effects. This doesn’t help justify why minimizing false positives leads to better detection.<\/p>\n\n\n\n

C. In treating pironoma patients, it is essential to begin treatment as early as possible, since even a week of delay can result in loss of life.<\/p>\n\n\n\n

This choice emphasizes the critical importance of early treatment for pironoma patients. If early treatment is essential and delays can be fatal, this would actually strengthen an argument for minimizing false negatives (missing sick people), not false positives. This choice works against the given recommendation since false negatives would delay necessary treatment, making them more problematic than false positives.<\/p>\n\n\n\n

D. The proportion of inconclusive test results is equal for all laboratory tests used to detect pironoma.<\/p>\n\n\n\n

This states that inconclusive results are equal across all tests. While this removes one variable from test comparison, it doesn’t address the key issue of why we should prioritize false positive rates over false negative rates. Inconclusive results are a third category that doesn’t help us understand the relationship between the two main types of errors the argument discusses.<\/p>\n\n\n\n

E. All laboratory tests to detect pironoma have the same proportion of false negative results.<\/p>\n\n\n\n

This directly strengthens the argument by stating that all laboratory tests have the same proportion of false negative results. If false negative rates are constant across all available tests, then the only meaningful way to differentiate between tests is by their false positive rates. This makes the recommendation logical – since we can’t improve false negative performance (it’s the same everywhere), we should choose tests based on minimizing false positives. This perfectly fills the logical gap in the original argument.<\/p>\n","protected":false},"excerpt":{"rendered":"

In tests for pironoma, a serious disease, a false positive result indicates that people have pironoma when, in fact, they do not; a false negative result indicates that people do not have pironoma when, in fact, they do. 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