Question: true or false If you find a null (non-significant effect), it could mean your hypothesis was wrong, a problem in your study design, the presence

true or false If you find a null (non-significant effect), it could mean your hypothesis was wrong, a problem in your study design, the presence of confounds, a weak manipulation effect, insensitive measures, a ceiling effect, a floor effect, large unsystematic (error) variance, large within groups variability, a large overlap between your two groups, or a Type II error

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