What is the purpose of hypothesis testing in correlation?
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The purpose of hypothesis testing in correlation is to determine whether there is a significant relationship between two variables or if any observed relationship could be due to random chance. In simple terms, it helps us decide if the correlation we see in the data is real and meaningful or just happened by luck. By testing a hypothesis, researchers can conclude whether the correlation is strong enough to be trusted or if it might not be reliable.
Hypothesis testing in correlation assesses whether the observed correlation coefficient is significantly different from zero, suggesting a genuine relationship between the variables.
Hypothesis testing in correlation determines whether the observed correlation coefficient significantly differs from zero, indicating a real relationship between variables.