Type I and Type II Error

$\alpha$ is the level of significance.

Type I Error: P(rejecting if the $H_0$ is true) = $p$ value Type II Error: P(failing to reject $H_0$ when $H_0$ is false) = $1-\beta$

where $\beta$ is the power??

https://www.scribbr.com/statistics/type-i-and-type-ii-errors/