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Heuristics can be exploited to lead people to positive outcomes.
Null Hypothesis
A statement positing that there is no significant difference or effect, often the initial assumption in hypothesis testing.
Type II Error
The error made when a test fails to reject a false null hypothesis, often denoted by beta (β).
Type I Error
The error that occurs when a true null hypothesis is incorrectly rejected, falsely indicating a statistically significant effect.
Type I Error
The error of rejecting a true null hypothesis, also known as a "false positive" error.
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