10. A Type I error means that a researcher has 1. rejected the null hypothesis (H0 )...

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10. A Type I error means that a researcher has 1. rejected the null hypothesis (H0

) when H0 is actually true 2. rejected the null hypothesis (H0

) when H0 is actually false 3. accepted the null hypothesis (H0

) when H0 is actually true 4. accepted the null hypothesis (H0

) when H0 is actually false

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