Engineering Applications of Statistics
Causation refers to the relationship between cause and effect, where one event (the cause) directly influences another event (the effect). Understanding causation is crucial for interpreting data accurately, as it helps distinguish between correlation, which is simply an association, and a true causal relationship. This distinction is vital when analyzing data and making informed decisions based on statistical evidence.
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