Student'S T-Test

A t-test is any statistical hypothesis test in which the test statistic follows a Student's t distribution if the null hypothesis is supported. It can be used to determine if two sets of data are significantly different from each other, and is most commonly applied when the test statistic would follow a normal distribution if the value of a scaling term in the test statistic were known. When the scaling term is unknown and is replaced by an estimate based on the data, the test statistic (under certain conditions) follows a Student's t distribution.
Posts about Student'S T-Test
  • Part 2: SEM Ad Copy Testing Insights for Your CMO

    … analyzed online dating conversations revealing the worst words to use in digital pick-ups (Spoiler alert: “ur”, “r”, “sexy”, and “beautiful”). Now, Boost Media’s data scientists have applied similar natural language processing techniques to retail SEM ad copy. Based on the more than 1.3 billion impressions analyzed, we know that “available” is a major…

    Karen Amundson/ BoostBlogin Paid Search- 6 readers -
Get the top posts daily into your mailbox!