Two sets of data that show a relationship is an example of correlation.
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Explanation:</u></h3>
Correlation is the relationship between two sets of data. Correlation in statistics help in determining whether two or more sets of data fluctuate in accordance with one another or not. And if they do, the degree of fluctuation can also be determined and studied.
By determining how one or two variables or data are related to one another, we can understand how to manipulate the values. In correlation, there are following possibilities:
- When one value increases, the other decreased
- When value increases or decreases, the other changes in the same way.
Example of correlation:
The utility of an air-conditioner increases as the temperature in the said area increases.
C. Because they contain water ammonia, and methane
<u>Answer</u>: a. This represents the requirements for the highest quality scientific methodology.
This question is part of the problem solving value rubric created by the AACU (The Association of American College and Universities). The number 4 represents the score assigned to the experimental design and the text illustrates the requirements needed to reach it.
a - is the highest score - the capstone
b&c - the milestones
d - the benchmark - the minimum score needed to pass.
Anything lower than the benchmark will be assigned a 0 and failed.