Data Science, Probability, Statistics, Data Science Interview, Data Analysis.
Type I error and Type II error. Type I error means that you’re falsely rejecting the null hypothesis Type II error means that you’re failing to reject the null hypothesis Statistical power is the probability that you’re correctly rejecting the null hypothesis. This also means the probability of