The t-test is this week's mini-episode topic. The t-test is a statistical testing procedure used to determine if the mean of two datasets differs by a statistically significant amount. We discuss how a wine manufacturer might apply a t-test to determine if the sweetness, acidity, or some other property of two separate grape vines might differ in a statistically meaningful way. Check out more details and examiles found in the show notes linked below. <a title="https://dataskeptic.com/blog/episodes/2014/t-test" href="https://dataskeptic.com/blog/episodes/2014/t-test" target= "_blank" rel= "noopener">https://dataskeptic.com/blog/episodes/2014/t-test</a>

Practicing and Communicating Data Science with Jeff Stanton

The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.