Common Pitfalls in Hypothesis Testing and How to Avoid Them
Hypothesis testing is a powerful tool used to make decisions about data and draw conclusions from it. However, if done incorrectly, the results of hypothesis tests can be misleading or even completely wrong. In this blog post, we’ll discuss some common pitfalls in hypothesis testing and how to avoid them. The first pitfall is failing to state your null and alternative hypotheses correctly before conducting the test. The null hypothesis should always represent a statement of “no effect” or “no difference” while the alternative should represent an opposite statement such as “there is an effect/difference present". It's important that you are clear on what each one means so that you can appropriately interpret your results later on in the process. Another common mistake made during hypothesis testing is not having enough evidence (or power) for making a decision about whether or not there's any significance between the two variables being studied. Having too small of a sa...