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To calculate the specificity of the drug test, we use the formula:

\[ \text{Specificity} = \frac{\text{True Negatives}}{\text{True Negatives} + \text{False Positives}} \times 100 \]

From the table:

- True Negatives (Does Not Use and Test Negative) = 1041
- False Positives (Does Not Use and Test Positive) = 184

Plugging in the values:

\[ \text{Specificity} = \frac{1041}{1041 + 184} \times 100 \]

Let's calculate this.The specificity of the drug test is **85.0%**.

Do you have any questions or need further details?

Here are some related questions for deeper understanding:

1. What is the difference between sensitivity and specificity?
2. How does a high specificity affect the reliability of the test in non-drug users?
3. How would the specificity change if the number of false positives increased?
4. How can sensitivity and specificity be used to calculate the overall accuracy of the test?
5. What is the impact of having high sensitivity but low specificity in a drug test?

**Tip:** Always remember that sensitivity measures the ability of a test to correctly identify those with the condition (true positives), while specificity measures the ability to correctly identify those without the condition (true negatives).

Learn how to calculate the specificity of a drug test using a sample table. This problem focuses on understanding key statistical concepts such as true negatives, false positives, and applying probability formulas. Suitable for students in Grades 10-12.

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