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What is the difference between correlation and causation in research studies?
Correlation in research studies shows a relationship between two variables, but it does not prove that one variable causes the other. Causation, on the other hand, indicates that changes in one variable directly result in changes in another variable.
What is the difference between cause and effect vs correlation in research studies?
Cause and effect in research studies refer to a direct relationship where one variable causes a change in another variable. Correlation, on the other hand, indicates a relationship between two variables but does not imply causation. In simpler terms, cause and effect shows a clear cause-and-effect relationship, while correlation shows a connection between variables without proving one causes the other.
What is the difference between cause and correlation in research studies?
Cause refers to a direct relationship where one factor directly influences another, leading to a specific outcome. Correlation, on the other hand, indicates a relationship between two factors, but does not imply causation. In research studies, establishing cause requires rigorous testing and evidence, while correlation suggests a potential connection that may or may not be causal.
What is the difference between correlation and causality?
Correlation refers to a relationship between two variables where they change together, while causality indicates that one variable directly causes a change in another. In simpler terms, correlation shows a connection, while causality shows a cause-and-effect relationship.
What is the difference between cause and correlation?
Cause refers to a direct relationship where one event leads to another, while correlation is a statistical relationship where two events occur together but may not have a direct cause-and-effect connection.
