A new approach has been recently proposed for making inferences from accelerated life tests. Their approach is significantly different from those that have been considered in the past, and is motivated by what is actually done in practice. A priori information which is generally available to the engineer is incorporated under their approach by adopting a Bayesian point of view. The usuall assumptions about the failure distributions and the acceleration functions, which are appealing from a statistical point of view, have been sacrificed to achieve greater reality. This paper applies this new approach to some real life data arising from an accelerated life test. In the process, the new approach is explained in a manner which makes it easy to understand and apply by the reliability practitioner.