Question 1198652: Identify the type of sampling used in each of the following scenarios
A survey was conducted of 1000 first-year university students across Canada. From all universities in Canada, 10
were randomly selected. Then at each of the selected universities, a random sample of 100 first-year students were
chosen to participate. This is an example of:
a) random sample
b) stratified sample
c) cluster sample
d) systematic sample
e) voluntary-response sample
f) none of these
Answer by textot(100)   (Show Source):
You can put this solution on YOUR website! The correct answer is **c) cluster sample**.
**Explanation:**
* **Cluster Sampling:**
* In cluster sampling, the population is divided into groups (clusters).
* A random sample of clusters is selected.
* Then, all or a random sample of individuals within each selected cluster are included in the study.
In this scenario:
1. **Clusters:** Universities in Canada.
2. **Selection:** 10 universities were randomly selected.
3. **Within-Cluster Sampling:** 100 first-year students were randomly selected from each of the chosen universities.
**Other Sampling Methods:**
* **Random Sample:** Every individual in the population has an equal chance of being selected.
* **Stratified Sample:** The population is divided into subgroups (strata), and a random sample is taken from each stratum.
* **Systematic Sample:** Individuals are selected from the population at regular intervals (e.g., every 10th person).
* **Voluntary-Response Sample:** Individuals volunteer to participate in the study.
Since the sampling involves selecting clusters (universities) and then sampling within those clusters, this is a classic example of cluster sampling.
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