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Value
The importance, worth, or usefulness of something or a numerical quantity assigned to a variable.
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.
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