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

    … not containing “available” where both ads were paired with the same keywords with the same bids over the same period. When determining whether or not the performance impact of including a term was statistically significant, we used non-weighted calculations and a 1-sided paired student’s t-test with a p value of < .05. When examining the degree to which the impact was seen, we used weighted metrics and did not calculate statistical significance. The post Part 2: SEM Ad Copy Testing Insights for Your CMO appeared first on Boost Blog. …

    Karen Amundson/ BoostBlogin Paid Search- 7 readers -
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