The correct answer is non-probability
Non-probabilistic sampling, this type of sampling is used when we do not have access to the complete list of individuals that make up the population (sample frame), so we do not know the probability that each individual will be selected for the sample. The main consequence of this lack of information is that we cannot generalize results with statistical precision.
