The accompanying table shows the results from disease. What would be an unfavorable consequence of this error? test for a certain disease. Find the probability of selecting a subject with a negative test result, given that the subject has the The individual actually o had the disease Yes No Positive 331 Negative 12 1142 The probability is: (Round to three decimal places as needed.) What would be an unfavorable consequence of this error? O A. The subject would not receive treatment and could spread the disease. O B. The test would be shown to be not reliable. O C. The subject would experience needless stress and additional testing. OD. The test would be shown to be not effective.

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**Title: Understanding Errors in Diagnostic Tests**

The accompanying table shows the results from a test for a certain disease. It provides 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?

### Table: Diagnostic Test Results

| The individual actually had the disease | Yes | No  |
| ----------------------------------------|-----|-----|
| **Positive**                            | 331 | 6   |
| **Negative**                            | 12  | 1142|

### Probability Calculation 
The probability is ______. (Round to three decimal places as needed.)

### Understanding Consequences of Diagnostic Errors

What would be an unfavorable consequence of this error?

- **A.** The subject would not receive treatment and could spread the disease.
- **B.** The test would be shown to be not reliable.
- **C.** The subject would experience needless stress and additional testing.
- **D.** The test would be shown to be not effective.

For educational purposes:

1. **Diagnostic Test Errors**: Diagnostic tests can sometimes yield incorrect results, known as false positives or false negatives. False negatives occur when the test indicates that an individual does not have a disease, but in reality, they do.

2. **Evaluating Probability**: In this case, the probability of a false negative (observed negative test result when the individual actually has the disease) would be calculated as the number of false negatives divided by the total number of individuals who actually have the disease.

3. **Consequences**: Understanding the consequences of these errors helps in improving diagnostic approaches and decision-making in medical practice. Here, an unfavorable consequence might be that the subject remains untreated and could potentially spread the disease to others.

*Note*: Always consider improving diagnostic tests to minimize the probability of errors and mitigate their consequences. This practice is crucial in public health to ensure accurate and effective treatment and control of diseases.
Transcribed Image Text:**Title: Understanding Errors in Diagnostic Tests** The accompanying table shows the results from a test for a certain disease. It provides 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? ### Table: Diagnostic Test Results | The individual actually had the disease | Yes | No | | ----------------------------------------|-----|-----| | **Positive** | 331 | 6 | | **Negative** | 12 | 1142| ### Probability Calculation The probability is ______. (Round to three decimal places as needed.) ### Understanding Consequences of Diagnostic Errors What would be an unfavorable consequence of this error? - **A.** The subject would not receive treatment and could spread the disease. - **B.** The test would be shown to be not reliable. - **C.** The subject would experience needless stress and additional testing. - **D.** The test would be shown to be not effective. For educational purposes: 1. **Diagnostic Test Errors**: Diagnostic tests can sometimes yield incorrect results, known as false positives or false negatives. False negatives occur when the test indicates that an individual does not have a disease, but in reality, they do. 2. **Evaluating Probability**: In this case, the probability of a false negative (observed negative test result when the individual actually has the disease) would be calculated as the number of false negatives divided by the total number of individuals who actually have the disease. 3. **Consequences**: Understanding the consequences of these errors helps in improving diagnostic approaches and decision-making in medical practice. Here, an unfavorable consequence might be that the subject remains untreated and could potentially spread the disease to others. *Note*: Always consider improving diagnostic tests to minimize the probability of errors and mitigate their consequences. This practice is crucial in public health to ensure accurate and effective treatment and control of diseases.
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