Some employers use lie detector tests to screen job applicants. Lie detector tests are not completely re statements are also identified as lies. A company gives its job applicants a polygraph test, asking "Did ) polygraph test. What is the probability that a person whose test identified their answer as a lie was acti A. 0.259 B. 0.140 C. 0.349 D. 0.741

In the realm of polygraph testing, understanding the nuances of specificity and sensitivity is crucial—after all, it's not just about shocking revelations but grasping probabilities! The likelihood of a person truly lying when flagged by the test is generally calculated using Bayes’ theorem, considering both the rate of false positives and the true prevalence of lies. This draws an interesting line between physiological responses and human behavior. When diving into real-world applications, it's essential to note that while lie detector tests are frequently associated with criminal investigations, they also creep into various workplace environments, from security roles to high-stakes positions. However, many experts question their accuracy, with potential consequences for hiring decisions. So, wouldn't it be fun if hiring managers relied on a good old-fashioned chat instead?