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We will learn the level of significance and how it affects hypothesis testing. Essentially the level of significance represents the probability that our decision to reject the null hypothesis IS WRONG! But the smaller the level of significance the greater the probability that we fail to reject H0 when we should have (type 2 error).

Previous video in this series can be seen at:
https://youtu.be/N4RDbExiSc0
Next video in this series can be seen at:
https://youtu.be/gkCUj5Hz5XQ