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Slote points out that the moral beliefs of people in other societies and times have been less than entirely accurate. He goes on to argue that
Type I Error
The error made in statistical hypothesis testing when a true null hypothesis is incorrectly rejected, commonly referred to as a "false positive."
Type I Error
Type I error, often denoted as α, occurs when a true null hypothesis is incorrectly rejected, indicating a false positive finding in hypothesis testing.
Null Hypothesis
A statement suggesting that there is no significant difference or relationship between specified populations, any observed effect being due to sampling or experimental error.
Type I Error
The mistake of rejecting the null hypothesis when it is actually true, commonly referred to as a "false positive."
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