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Why do lenders avoid lending large amounts of money to one borrower?
Type II Error
The error made in statistical testing when a false null hypothesis is not rejected.
Null Hypothesis
A default hypothesis that there is no significant difference or relationship between specified populations or phenomena, used as a starting point for statistical testing.
Incorrect Decision
A decision based on data analysis or hypothesis testing that incorrectly accepts the null hypothesis or wrongly rejects it, leading to a Type I or Type II error.
Type II Error
The error that occurs when a statistical test fails to reject a false null hypothesis; also known as a "false negative."
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