I have a confession to make. I used to run random A/B tests simply for the sake of running another test. I’d read articles like 50 A/B Split Testing Ideas, jot down my favorite ones, and then come ...

In the realm of technical product development, hypothesis testing acts as a bridge between design, data and decision-making. It enables teams to move beyond assumptions and validate their ideas ...

At times we wish to examine statistical evidence, and determine whether it supports or contradicts a claim that has been made (or that we might wish to make) concerning the entire population. This is ...

In applied research, an effect size is specified in advance and defines a threshold for decision-making. Power analyses of a specific desired effect size may then be carried out before an experiment ...

We consider statistical hypothesis testing simultaneously over a fairly general, possibly uncountably infinite, set of null hypotheses, under the assumption that a suitable single test (and ...

In this paper, we show that the conditional frequentist method of testing a precise hypothesis can be made virtually equivalent to Bayesian testing. The conditioning strategy proposed by Berger, Brown ...