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Two-sided hypothesis

A two-sided hypothesis is used when researchers do not know if effects will increase or decrease

A two-sided hypothesis is used when there is no strong directional hypothesis expected in a research study. Essentially, the researchers do not know if a treatment effect will cause an increase or decrease in some sort of outcome. 

A two-sided hypothesis requires a relative large difference between groups, observations, or association in order to detect significance versus a one-tailed test. Two-tailed tests are therefore thought to be more rigorous because more observations have to be collected in order to achieve adequate statistical power.

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