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For an exporter,one way to avoid having to pay for amendments to a letter of credit is to
Type I Error
A statistical error made by rejecting the null hypothesis when it is actually true, known as a false positive.
Type II Error
The failure to reject a false null hypothesis, also known as a "false negative."
Null Hypothesis
A statement positing that there is no significant difference or effect, serving as the default assumption in hypothesis testing.
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