Question 1198652
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.