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Relational learning involves changes in
Two-sided Test
A statistical hypothesis test which determines if there is a significant difference in either direction between the groups or variables being studied.
One-sided Test
A hypothesis test in which the alternative hypothesis specifies a direction of the statistical significance, either greater than or less than a certain value.
P-value
The probability of encountering test data at least as extreme as what has been observed, with the assumption that the null hypothesis is valid.
Two-sided Test
A hypothesis test in which the critical area of a distribution is two-sided and tests whether a sample is either greater than or less than a certain range of values.
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