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

    … benchmarks. Methodology We looked at data from over 1.3 billion impressions across 250,000 ads from 15 AdWords non-brand desktop search accounts from January 1 to June 30, 2014 To normalize factors such as bid and keyword differences, we limited comparison to ad groups that had at least one ad variation containing “available” and one ad…

    Karen Amundson/ BoostBlogin Paid Search- 8 readers -
Get the top posts daily into your mailbox!