Examlex
Inferential statistics summarize a group, while descriptive statistics help us make estimates about a larger population.
Critical Value
A point on the scale of the test statistic beyond which we reject the null hypothesis; it defines the boundary for the region of rejection.
Power
The probability that a statistical test will correctly reject a false null hypothesis, effectively detecting an actual effect.
Type II Error
The mistake of failing to reject a false null hypothesis, also known as a "false negative" finding.
Dependent-Samples T-Test
A statistical test used to compare the means of two related groups, indicating if any difference between them is statistically significant.
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