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In the rational model, the decision maker strives to:
Null Hypothesis
A statement used in statistics that proposes there is no effect or no difference, and it is the hypothesis that researchers aim to test against.
Probability
A measure of the likelihood that an event will occur, quantified as a number between 0 and 1.
Null Hypothesis
An assumption in hypothesis testing that there is no significant difference or effect.
.05
Often signifies the alpha level used in hypothesis testing that represents a 5% risk of concluding that a difference exists when there is no actual difference.
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