Answer:
Cluster sampling.
Step-by-step explanation:
In Statistics, sampling can be defined as a process used to collect or select data (objects, observations, or individuals) from a larger statistical population using specific procedures.
There are various types of sampling used by researchers and these are;
1. Random sampling.
2. Convenience sampling.
3. Systematic sampling.
4. Stratified sampling.
5. Cluster sampling.
In this scenario, a news reporter at a family amusement park randomly selects a ride and then interviews all the people who just exited the ride about their experience in the park.
Hence, the kind of sample that is being described is cluster sampling.
Cluster sampling can be defined as a type of sampling technique in which the population is divided into small multiple groups known as clusters.
Basically, cluster sampling comprises of mutually homogenous but internally heterogenous population.
