As a service equipment technician, I frequently use statistics in various aspects of my job. For instance, I use measures of central tendency, like the mean and median, to analyze equipment performance and predict maintenance needs. By looking at the average lifespan of components or the median time between failures, I can make informed decisions about when to perform preventive maintenance. This helps reduce downtime and improve overall productivity.

Probability is also a significant part of my work. I often assess the likelihood of equipment failure based on past performance data. For example, if historical data shows that a particular type of equipment fails 5% of the time after a specific period, I can calculate the probability of failure for other units of the same equipment within a similar timeframe. This information is crucial for planning maintenance schedules and managing spare parts inventory efficiently.