Answer: stratified sampling and judgement sampling
Step-by-step explanation:
Stratified samplingĀ is a probability method that is superior to random sampling because it reduces sampling error. A stratum is a subset of the population that share at least one common characteristic.
While
Judgment samplingĀ is a nonprobability method. The researcher chooses the sample based on judgment. This is usually and extension of convenience sampling. For example, a researcher may decide to draw the entire sample from one "representative" city, even though the population includes all cities. When using this method, the researcher must be confident that the chosen sample is truly representative of the entire population.