<prompt> A randomized trial comparing the efficacy of two drugs showed a difference between the two p0.05. Assume that in reality, however, the two drugs to not differ. This is therefore an example of:-Type I errorType II error1 - alpha1 - beta  <response>: STATISTICAL ERRORS P - VALUE H0 rejected H0 not rejected Null hypothesis H0 true Null hypothesis H0 false Type I error No error No error Type II error Type I error: Null hypothesis is true but rejected. Probability of type I error is given by P value. probability of declaring a significant difference when actually it is not present Significance alpha level: is the maximum tolerable probability of type I error. Alpha is fixed in advance: p - value calculated can be less than, equal to or greater than alpha. Keep type I error to be minimum P 