Answer :
The example "150 students randomly selected from a large university" is a sample. Here's why:
1. **Definition**:
- **Population**: It includes all members of a specified group.
- **Sample**: It represents a subset of the population that is selected to represent the whole group.
2. **Explanation**:
- In this case, the entire population would be all students at the large university, which could potentially be thousands.
- The sample is only 150 students selected randomly from this larger group to represent the whole university population.
3. **Example**:
- If you imagine a large bowl of mixed candies (population), taking out a handful of candies (sample) to represent the entire bowl would be similar to this scenario.
So, in this context, the example of 150 students randomly selected from a large university would be classified as a sample since it's a subset taken from the larger population of all students at the university.
In this case, the example "150 students randomly selected from a large university" represents a sample.
A sample is a subset of the population, which is a larger group of individuals or items under consideration. In this scenario, the 150 students represent a subset (sample) of the entire student population at the large university.
A sample is a subset of the population, which is a larger group of individuals or items under consideration. In this scenario, the 150 students represent a subset (sample) of the entire student population at the large university.
