In drawing an inference using a single mean in hypothesis testing, you often have a choice between doing a z-test or a t-test. Many researchers will always choose to do the t-test even under circumstances where the z-test would work as well. Explain why the t-test was developed and why it is preferred.
This solution explains the difference in assumptions of a one-sample t-test and a z-test. It further explains why researchers may prefer to use the t-test in analyses that could use a z-test.