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Spyware is software that comes hidden in downloaded applications and can track your online movements.
Type I Error
The incorrect rejection of a true null hypothesis in statistical hypothesis testing, also known as a "false positive."
Type II Error
The error that occurs when a false null hypothesis is not rejected, often referred to as a "false negative."
Multiple Comparison
A statistical principle applied when multiple hypothesis tests are conducted simultaneously, requiring adjustment methods to control for the increased risk of Type I error.
Significant Difference
A statistical term indicating that the observed difference between two or more datasets is unlikely to be due to chance at a certain confidence level.
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