Rain allows water and nutrients to spread in different areas. Wind allows seeds and leaves to fall into the soil and grow new wildlife.
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.
In Country A, the opportunity cost of one paper clip is 1/2. Option C
<h3>What is opportunity cost?</h3>
The opportunity cost refers to the alternative forgone in production. It means that it is the option that is chosen in the midst of other possibilities.
We can see from the table that in Country A, the opportunity cost of one paper clip is 1/2.
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Missing parts
If countries A and B produce only either rubber bands or paper clips, their maximum outputs are shown in the accompanying production possibilities schedules.
In country A the opportunity cost of 1 paper clip is
A.2 rubber bands.
B.1 rubber band
C.1/2 rubber band.
D.1/4 rubber band.