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Chi-square tests are more likely to have type II (falsely rejecting the null hypothesis) errors than parametric tests. (Points : 1) True False
Chi-square tests are more likely to have type II (falsely rejecting the null hypothesis) errors than parametric tests. TRUE.
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Asked 11/23/2015 8:28:22 PM
Updated 6/15/2016 9:43:03 PM
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Chi-square tests are more likely to have type II (falsely rejecting the null hypothesis) errors than parametric tests. TRUE.
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Added 6/15/2016 9:43:03 PM
This answer has been confirmed as correct and helpful.
Confirmed by Andrew. [6/15/2016 11:27:55 PM]
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