1. The problem is to express a probability or confidence level using the phrase "95% of the time". 2. The phrase "95% of the time" means that an event is expected to occur in 95 out of 100 cases, or with a probability of 0.95. 3. In mathematical terms, this is written as $P = 0.95$. 4. For example, if a test is accurate 95% of the time, it means the probability of a correct result is $0.95$. 5. This phrase is often used in statistics to describe confidence intervals or reliability. 6. So, saying "95% of the time" is equivalent to saying the probability is $0.95$ or 95%.