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.
An example of fine motor skills is when you are writing. Using small muscles.
The probability that students who were randomly selected studied for the test, if they pass it with a B or higher grade is: D. 0.80.
<h3>How to calculate the probability?</h3>
In this exercise, you're required to determine the probability that students who were randomly selected studied for the test, if they pass it with a B or higher grade. Thus, we would apply Bayes's theorem.
- Let S represent studied for.
- Let B represent a score of B or higher grade
Therefore, we need to find P(S|B):
S|B = 0.80.
Read more on probability here: brainly.com/question/25870256
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<u>Complete Question:</u>
At the beginning of the semester, a professor tells students that if they study for the tests, then there is a 55% chance they will get a B or higher on the tests. If they do not study, there is a 20% chance that they will get a B or higher on the tests. The professor knows from prior surveys that 60% of students study for the tests. The probabilities are displayed in the tree diagram.