The goal of this simulation is to demonstrate the trade-off between type I error $\alpha$, the probability of rejecting the null hypothesis $H_0$ when it is true, and type II error $\beta$, the probability of failing to reject the null hypothesis $H_0$ when it is false, under the Null Hypothesis Significance Testing framework.
Reducing type I error by decreasing $\alpha$ will increase type II error and vice versa. You can verify the validity of this claim by using the controls below to alter the value of $\alpha$.