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What are common uses of Microsoft's Terminal Services?
Alternative Hypothesis
A statement that contradicts the null hypothesis and proposes that there is a statistically significant relationship between two variables.
Null Hypothesis
A default statement that there is no effect or no difference, often used as a starting assumption in statistical hypothesis testing.
Type I Error
The error that occurs when the null hypothesis is incorrectly rejected, falsely indicating a significant effect.
Type II Error
Occurs when a false null hypothesis is not rejected, meaning an effect or difference is missed in the analysis.
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