If one of the results is randomly selected, what is the probability that it is a false negative (test indicates the person does not have the disease when in fact they do)? Round to the nearest thousandth. What does this probability suggest about the accuracy of the test?

The Question is Incomplete.

Complete Question:

Refer to the table which summarizes the results of testing for a certain disease. (See attachment for table).

If one of the results is randomly selected, what is the probability that it is a false negative (test indicates the person does not have the disease when in fact they do)? Round to the nearest thousandth. What does this probability suggest about the accuracy of the test?

Probability = 0.01294

Accuracy = 40.129%

Step-by-step explanation:

Probability is calculated as number of favorable outcomes / number of possible outcomes.

The number of false negatives = 4

Total possible outcomes = 120 + 4 +

13 + 172 = 309

So, the probability that it is a false negative = 4/309

Probability = 0.012944983818770

Probability = 0.01294 --- Approximated

Accuracy is calculated as;

(True Positive + True Negative)/Total

Where True Positive = 120

True Negative = 4

Accuracy = (120+4)/309

Accuracy = 124/309

Accuracy = 0.401294498381877

Accuracy = 40.129%

The probability suggests that there exists a very less accuracy in the test.

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