MCAR stands for Missing Completely at Random. When data are MCAR, the probability of data being missing is independent of both observed and unobserved data. This means that the missingness does not relate to any values of the data, neither the observed nor the unobserved ones. For example, if survey responses are missing because some respondents accidentally skipped a question, the data could be considered MCAR.
