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The difference between t-tests and z-tests

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.

Solution Summary

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.

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Heather Poole, PhD

Rating 4.8/5

Active since 2004

BSc, Queen's University
MSc/PhD, McMaster University

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