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The correlation coefficient can take any value from
Null Hypotheses
In statistical analysis, assumptions made for the purpose of testing, asserting no significant difference or effect is expected.
Alternative Hypotheses
In statistical hypothesis testing, it is the hypothesis that proposes a difference or effect, in contrast to the null hypothesis which proposes no effect or relationship.
Type II Error
Refers to the error that occurs when a statistical test fails to reject a false null hypothesis.
Type I Error
Falsely rejecting a true null hypothesis, widely recognized as a "false positive."
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