Type I error in A/B tests
In A/B tests, there are multiple considerations that come into play when obtaining a sample that accurately represents the population.
If the population is not accurately represented with the data used in the analysis, a Type I error can be found, providing an incorrect result or conclusion. Factors influencing the likelihood of a Type I error should be monitored to be aware of, and reduce, the Type I error rate.
Which of the following considerations is likely to increase the likelihood of obtaining a Type I error?
This exercise is part of the course
A/B Testing in R
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