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Consider a regression in which b₂ = -1.5 and the standard error of this coefficient equals 0.3. To determine whether X₂ is a significant explanatory variable, you would compute an observed t-value of -5.0.
Dependent Variable
The outcome variable in an experiment or study whose changes are dependent on manipulations made to the independent variable(s).
Type II Error
The error that occurs when a statistical test fails to reject a false null hypothesis—essentially, a false negative.
Null Hypothesis
A hypothesis that suggests there is no significant difference or relationship between specified groups or variables, serving as a default position until evidence suggests otherwise.
Sampling Error
The error that occurs due to selecting a sample instead of conducting a census of the entire population, leading to discrepancies between the sample and population parameters.
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