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Asked by: Sunitha
Created at: 2025-10-20 11:06:27

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# Explanation the COVID-19 Test Results## Part a) - Probability the person is infected a positive test### Given Data: | Test Positive | Test Negative | Total | |----------------|-----------------|-|------------| | **Infected | .01 .2 . | |Not Infected | .001 .5 | . | | **Total Prob** | .011 | .7 | 1. | ### Calculation: \[ P(\text{Infected} | \text{Test Positive}) = \frac{P(\text{Test Positive} \cap \text{Infected})}{P(\text{Test Positive})} \] \[ = \frac{.01}{.011} \approx .909 \] **Answer:** The probability that the person is infected given a positive test is approximately **90.9%**. --- ## Part b) - Probability the test yields a positive result in the community ### Given Data: | | Test Positive | Test Negative | Total Prob | |--------------------------|-----------------|-----------------|------------| | **Infected** | .01 | .2 | .21 | | **Not Infected** | .001 | .5 | .501 | | **Total Prob** | .011 | .7 | 1. | ### Calculation: \[ P(\text{Test Positive}) = .011 \] **Answer:** The probability that the test yields a positive result in the community is **1.1%** (or .011). --- **Summary:** - The probability that a person with a positive test is actually infected is approximately **90.9%**. - The overall probability that the test is positive in the community is **1.1%**.

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