<prompt> A randomized trial comparing the efficacy of two drugs showed a difference between the two with a p value of 0.005. In reality, however the two drugs do not differ. This therefore is an example of:Type I error Alpha error.Type II error Beta error.I-Alpha.I-Beta.  <response>: Ans is a i.e. Type I error alpha error There are two types of error in statisticsType I or alpha errora statistical significant difference is found but this is in fact not true.It is only by chance that a statistical significant difference between groups is found, there is no difference actually.eg. as in the question the two drugs do not differ but the randomized trial shows a difference.Type II for beta errorwhen a study fails to prove a statistical significant difference, when actually there in one.eg. Aspirin is not able to prevent MI. this occurs because of small no. of samples 