Final answer:
The method in question is quantitative risk analysis, which uses mathematical models to express risk in terms of concrete probability percentages and financial impact. Percent uncertainty and confidence intervals like the plus-four method are tools used in this analysis.
Step-by-step explanation:
The method that results in concrete probability percentages and provides reports with dollar figures for levels of risk, potential loss, cost of countermeasures, and value of safeguards is known as quantitative risk analysis. This method involves using mathematical models and probability to quantify and manage risk in a business or technical process. In quantitative risk analysis, the percent uncertainty is a critical concept as it helps quantify the level of confidence in the risk assessments being made.
For example, a safety engineer examining reports to determine the likelihood of an accident caused by employee noncompliance may find that 35% of accidents have occurred due to this reason. This statistic can be used in calculating the probability of future accidents and their potential impact on the company in monetary terms. In another scenario, using techniques such as the plus-four method for confidence intervals can provide a range in which there is a stated level (like 97%) of confidence that the true proportion of a population's belief or behavior lies within.