Final answer:
Different sampling methods such as systematic, stratified, and random sampling are used to collect data in various research scenarios. Systematic sampling involves selecting subjects at regular intervals, while stratified sampling involves dividing the population into subgroups and sampling from each. Random sampling gives all subjects an equal chance of being selected.
Step-by-step explanation:
The sampling method employed in a study can significantly affect the accuracy and reliability of the research outcomes. In the aforementioned scenarios, different sampling strategies, such as systematic sampling, stratified sampling, and random sampling, are being used. For example, when the first house is selected randomly and then every eighth house is chosen, this represents a systematic sampling approach. In another instance, where soccer players are selected based on age groups, this is an example of stratified sampling. Lastly, when each subject has an equal chance of being selected, it exemplifies a random sampling method.