Before you draw conclusions from your split tests and your analytics, you need to test your results for statistical significance. Jumping to conclusions about the effectiveness, or lack thereof, of a change in your campaign could be a costly mistake. If you need a simple tool for comparing simple A/B tests or comparing analytics data from one time frame with another, then use the statistics tool at prconline.com.
Tool for Measuring Statistical Significance
Posted by Dave Foreman on May 25, 2008
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