Answer:
Quota.
Explanation:
In Statistics, sampling can be defined as a process used to collect or select data (objects, observations, or individuals) from a larger statistical population using specific procedures.
There are various types of sampling used by researchers and these are;
1. Random sampling.
2. Systematic sampling.
3. Stratified sampling.
4. Cluster sampling.
5. Opportunity or convenience sampling.
6. Quota sampling.
Quota sampling can be defined as a non-probability sampling technique wherein a sample comprising of data from a population or homogeneous group are created.
In this scenario, a researcher selects a sample from a district such that 25% of the children are between ages 5 and 6, 25% are between ages 7 and 8, 25% are between 9 and 10, and 25% are between ages 11 and 12. Thus, the researcher is employing a quota sampling.
The long-run aggregate supply curve will shift to the right if a given economy experiences technological advancements.
<h3>What is the aggregate supply curve?</h3>
The aggregate supply curve is a graphical representation that makes reference to all processes that add value to the productive chain.
The aggregate supply curve is mainly influenced by technological inputs that increase productivity.
In conclusion, the long-run aggregate supply curve will shift to the right if a given economy experiences technological advancements.
Learn more about the aggregate supply curve here:
brainly.com/question/15100476
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It is true if they didn't have the safety measure consumers could get sick.
