Final answer:
Both random and systematic sampling aim to create a representative sample from a population.
Step-by-step explanation:
Both random and systematic sampling aim to create a representative sample from a population. Random sampling involves choosing individuals from the population using a method that gives each individual an equal chance of being included in the sample. This can be done through methods like simple random sampling, stratified sampling, cluster sampling, or systematic sampling. Systematic sampling, on the other hand, involves selecting individuals from the population by choosing a starting point randomly and then selecting every kth individual in the list.