ITGSS Certified Technical Associate: Project Management Practice Exam

A False Positive indicates an outcome that should be negative but is identified as positive. In various contexts, such as medical testing or data analysis, a False Positive occurs when a test or model predicts a condition or attribute that is not actually present. For instance, if a medical test is designed to determine the presence of a disease and it incorrectly shows a patient is positive for that disease when they are not, this situation is termed a False Positive. This concept is crucial in project management and data analysis, as it highlights the importance of accuracy in predictive models and testing scenarios. Recognizing False Positives allows teams to evaluate the reliability of their data and decision-making processes, ultimately leading to better outcomes by addressing these inaccuracies.