Answer :
Final answer:
The sampling method used is cluster sampling because all students in a specific class were asked about their preferences. This involves sampling specific clusters from the entire population. Understanding the different sampling methods helps clarify why this particular approach was used.
Explanation:
Identifying the Sampling Method
The sampling method used in this scenario where all students in the automotive class were asked about their preference in brands of tools can be identified as cluster sampling. In cluster sampling, the entire population is divided into clusters (in this case, all students in the automotive class are considered one cluster), and then a sample is taken from that whole cluster.
Let's consider the other sampling methods for clearer understanding:
- Simple random sampling: Every individual has an equal chance of being selected from the entire population.
- Stratified sampling: The population is divided into strata (subgroups) based on specific characteristics, and samples are drawn from each stratum.
- Systematic sampling: Members of the population are selected at regular intervals after choosing a random starting point.
- Cluster sampling: The population is divided into clusters, and then entire clusters are chosen randomly for sampling.
In this situation, since the sample includes all students in a specific class (the automotive class), it is classified as a cluster sample.
Learn more about sampling methods here:
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