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inferential statistics
a type of statistic that makes inferences (generalizations) from samples to populations
significance test
used to draw conclusions about populations based upon research conducted on samples
criterion of significance
AKA alpha level; the criterion used to determine whether observed difference is due to chance or is statistically significant. usually 0.05.
type I error
rejecting a true null hypothesis
type II error
accepting a false null hypothesis
types of significance tests
t-test: used to compare means of two groups
ANOVA: used to compare means of more than two groups
Chi-square test: used when individual observations are names or categories (nominal data)
meta-analysis
a statistical procedure that can be used to make conclusions on the basis of data from different studies