Finally, there are two key issues that are not widely discussed or reviewed Industry Email List in Google's help articles. They are very important to consider when setting up experiments. Having a goal in mind when generating this hypothesis is essential. You should write in a notebook what the goal is and what metric you want to test. Defining the metric is Industry Email List also essential at the outset because it is easy to deviate from it. For example, if you're testing a new type of ad, your hypothesis should probably be written in terms of CTR, not CPA. Your results might show a better
CPA, but that shouldn't sway your decision Industry Email List because your assumption is framed in terms of CTR and you don't have to apply experience! Another way to get a false positive result is due to a timing design issue. This occurs when the Industry Email List experimenter increases or decreases the run time of the experiment to achieve a meaningful or desired result. This happens Industry Email List unknowingly, the experimenter does not realize that he is creating a false positive. Think of it like this: if we increase the run time for another week we might get a significant result, if we increase another week we
