A relationship between two factors, for instance, between outside temperature and the number of people with active colds in a population, is known as a(n) a. a. significant result;
b. correlation;
c. hypothesis;
d. alternative hypothesis;
e. experimental test
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1
Identify the term that describes a relationship or association between two variables.
Understand that this term does not imply causation, but rather indicates a statistical link where one variable may change as another changes.
Review the options provided and eliminate those that do not directly relate to describing a relationship between two variables.
Consider the term that is commonly used in statistics to denote the type of relationship described in the problem.
Select the option that best fits the definition of a statistical relationship between two variables.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Correlation
Correlation refers to a statistical relationship between two variables, indicating how one may change in relation to the other. In the context of the question, it describes the connection between outside temperature and the incidence of colds, suggesting that as one factor changes, the other may also vary. Correlation does not imply causation; it merely indicates a pattern or trend.
A hypothesis is a testable statement or prediction about the relationship between two or more variables. It serves as a foundation for scientific investigation, guiding researchers in their experiments. In the context of the question, a hypothesis could be proposed to explore whether changes in temperature affect the number of colds, but it is distinct from correlation, which describes observed relationships.
An experimental test is a method used to investigate a hypothesis by manipulating one variable to observe its effect on another. This approach allows researchers to establish cause-and-effect relationships rather than mere associations. In the context of the question, an experimental test would involve controlling temperature conditions to see how they influence the occurrence of colds in a population.
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