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Kanner and colleagues provided an example of rejecting the null hypothesis by studying the relationship between daily hassles and psychological symptoms. They asked how likely it would be to find their sample's strong correlation of $$+.60$$ if the null hypothesis (that there is no correlation in the population) were true. Because such a strong sample relationship would be fairly unlikely under the null hypothesis, they rejected the null hypothesis in favor of the alternative hypothesis, concluding a positive correlation exists in the population.

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