Use Bayes' Theorem to Find the Indicated Probability A Test Subject Is Randomly Selected and Tested for the the Table

question 30

Multiple Choice

Use Bayes' theorem to find the indicated probability.
-Refer to the table which summarizes the results of testing for a certain disease. $$\begin{array} { l | c c } & \text { Positive Test Result } & \text { Negative Test Result } \\\hline \text { Subject has the disease } & 93 & 10 \\\text { Subject does not have the disease } & 27 & 93\end{array}$$ A test subject is randomly selected and tested for the disease. What is the probability the subject does not have the disease given that the test result is positive?

• A) 0.141
• B) 0.65
• C) 0.225
• D) 0.775

---

Definitions:

Extreme Scores

Extreme scores refer to the most unusually high or low values in a data set, which can significantly influence statistical analyses and interpretations.

Selection Differences

Disparities between groups in an experimental study that can affect the outcome, often resulting from non-random assignment.

Testing Effects

The impact that pre-testing may have on the subjects' performance in subsequent assessments.

Cross-sectional

A research design that collects data from a population, or a representative subset, at one specific point in time.