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ALPHA
Also known as SIZE or TYPE-1 ERROR. This is the probability that, according to some null hypothesis, a statistical test will generate a false-positive error : affirming a non-null pattern by chance. Conventional methodology for statistical testing is, in advance of undertaking the test, to set a NOMINAL ALPHA CRITERION LEVEL (often 0.05). The outcome is classified as showing STATISTICAL SIGNIFICANCE if the actual ALPHA (probability of the outcome under the null hypothesis) is no greater than this NOMINAL ALPHA CRITERION LEVEL (but see : TAIL DEFINITION POLICIES). This reasoning is applicable for all types of statistical testing, including RE-RANDOMISATION STATISTICS which are the concern of this present glossary. Also see : BETA, ERROR TYPES, P-VALUE.
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