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Type I and type II errors

Type I error, or a false positive, is the incorrect rejection of a true null hypothesis in statistical hypothesis testing. A type II error, or a false negative, is the incorrect acceptance of a false null hypothesis.

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Explore the main themes, entities and connections around Type I and type II errors. Start with the topic map, then use the sections below for research and deeper semantic analysis.

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Overview

Definition

Error rate

Example

Etymology

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Advanced semantic analysis

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Map overview Semantic statistics

Type I and type II errors

Nodes62
Edges61
Triples20
Avg. degree1.97
Density0.032258
Components1

How this topic connects Entity context

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Type I and type II errors

Top relations

related to Biometrics · 7
Type I and type II errors → Biometric, Hypothesis, II, Null, The, Type, Type II
related to Error rate · 7
Type I and type II errors → Considering, Greek, However, II, The, Usually, Whenever
related to Example · 6
Type I and type II errors → For, H0, II, Or, Since, The

Important terminology Word statistics

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Important terminology

type hypothesis error false null ii test true errors rate testing positive example result positives tests probability statistical speed negative

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Type I and type II errorsrelated to BiometricsBiometric0.60section
Type I and type II errorsrelated to BiometricsII0.60section
Type I and type II errorsrelated to BiometricsHypothesis0.60section
Type I and type II errorsrelated to BiometricsThe0.60section
Type I and type II errorsrelated to BiometricsNull0.60section
Type I and type II errorsrelated to BiometricsType0.60section
Type I and type II errorsrelated to BiometricsType II0.60section
Type I and type II errorsrelated to Error rateHowever0.60section
Type I and type II errorsrelated to Error rateWhenever0.60section
Type I and type II errorsrelated to Error rateConsidering0.60section
Type I and type II errorsrelated to Error rateII0.60section
Type I and type II errorsrelated to Error rateThe0.60section

Related concept clusters Concept neighborhoods

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    Connections between topic areas Semantic bridges

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    Min side: 3
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