Type I vs Type II Errors

Students always wonder why do we reject the null hypothesis when the p-value is less than the level of significance. To understand how hypothesis testing works, students can read more here. So what exactly is type I error?

Level of significance is probability of rejecting the null hypothesis when it is true.

Credits: www.personal.ceu.hu

Credits: www.personal.ceu.hu

From the table above, Type I Error is what we refer to as the level of significance.

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    • […] of significant refers to the P(rejecting H0 | H0 is true) which means is a false positive case here. And p-value is the smallestt level of […]

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