Logo
Unionpedia
Communication
Get it on Google Play
New! Download Unionpedia on your Android™ device!
Free
Faster access than browser!
 

Type I and type II errors

Index Type I and type II errors

In statistical hypothesis testing, a type I error is the rejection of a true null hypothesis (also known as a "false positive" finding), while a type II error is failing to reject a false null hypothesis (also known as a "false negative" finding). [1]

67 relations: Algorithm, Alternative hypothesis, Anti-spam techniques, Antivirus software, Atherosclerosis, Bayes' theorem, Binary classification, Biometrics, Birth defect, Blood transfusion, Cardiac stress test, Computer virus, Coronary arteries, Detection theory, Egon Pearson, Email spam, Errors of impunity, Ethics in mathematics, Facial recognition system, False alarm, False positive paradox, False positives and false negatives, Family-wise error rate, Fingerprint, Florence Nightingale David, Fluoride, Hepatitis, Heuristic (computer science), Hook effect, Hypothesis, Hypothyroidism, Information retrieval, Iris recognition, Jerzy Neyman, K. Ruben Gabriel, Mammography, Medical test, Miscarriage of justice, Netherlands, Neyman–Pearson lemma, Null hypothesis, Old wives' tale, Optical character recognition, Pap test, Phenylketonuria, Placebo, Positive and negative predictive values, Power (statistics), Precision and recall, Prosecutor's fallacy, ..., Receiver operating characteristic, Ronald Fisher, Roxy Peck, Screening (medicine), Sensitivity (electronics), Sensitivity and specificity, Spyware, Statistical hypothesis testing, Statistical significance, Statisticians' and engineers' cross-reference of statistical terms, Statistics, Stenosis, Testing hypotheses suggested by the data, Tooth decay, Trojan horse (computing), Type III error, Visual inspection. Expand index (17 more) »

Algorithm

In mathematics and computer science, an algorithm is an unambiguous specification of how to solve a class of problems.

New!!: Type I and type II errors and Algorithm · See more »

Alternative hypothesis

In statistical hypothesis testing, the alternative hypothesis (or maintained hypothesis or research hypothesis) and the null hypothesis are the two rival hypotheses which are compared by a statistical hypothesis test.

New!!: Type I and type II errors and Alternative hypothesis · See more »

Anti-spam techniques

Various anti-spam techniques are used to prevent email spam (unsolicited bulk email).

New!!: Type I and type II errors and Anti-spam techniques · See more »

Antivirus software

Antivirus software, or anti-virus software (abbreviated to AV software), also known as anti-malware, is a computer program used to prevent, detect, and remove malware.

New!!: Type I and type II errors and Antivirus software · See more »

Atherosclerosis

Atherosclerosis is a disease in which the inside of an artery narrows due to the build up of plaque.

New!!: Type I and type II errors and Atherosclerosis · See more »

Bayes' theorem

In probability theory and statistics, Bayes’ theorem (alternatively Bayes’ law or Bayes' rule, also written as Bayes’s theorem) describes the probability of an event, based on prior knowledge of conditions that might be related to the event.

New!!: Type I and type II errors and Bayes' theorem · See more »

Binary classification

Binary or binomial classification is the task of classifying the elements of a given set into two groups (predicting which group each one belongs to) on the basis of a classification rule.

New!!: Type I and type II errors and Binary classification · See more »

Biometrics

Biometrics is the technical term for body measurements and calculations.

New!!: Type I and type II errors and Biometrics · See more »

Birth defect

A birth defect, also known as a congenital disorder, is a condition present at birth regardless of its cause.

New!!: Type I and type II errors and Birth defect · See more »

Blood transfusion

Blood transfusion is generally the process of receiving blood or blood products into one's circulation intravenously.

New!!: Type I and type II errors and Blood transfusion · See more »

Cardiac stress test

A cardiac stress test (also referred to as a cardiac diagnostic test, cardiopulmonary exercise test, or abbreviated CPX test) is a cardiological test that measures the heart's ability to respond to external stress in a controlled clinical environment.

New!!: Type I and type II errors and Cardiac stress test · See more »

Computer virus

A computer virus is a type of malicious software program ("malware") that, when executed, replicates itself by modifying other computer programs and inserting its own code.

New!!: Type I and type II errors and Computer virus · See more »

Coronary arteries

The coronary arteries are the arteries of the coronary circulation that transport blood into and out of the cardiac muscle.

New!!: Type I and type II errors and Coronary arteries · See more »

Detection theory

Detection theory or signal detection theory is a means to measure the ability to differentiate between information-bearing patterns (called stimulus in living organisms, signal in machines) and random patterns that distract from the information (called noise, consisting of background stimuli and random activity of the detection machine and of the nervous system of the operator).

New!!: Type I and type II errors and Detection theory · See more »

Egon Pearson

Egon Sharpe Pearson, CBE FRS (11 August 1895 – 12 June 1980) was one of three children and the son of Karl Pearson and, like his father, a leading British statistician.

New!!: Type I and type II errors and Egon Pearson · See more »

Email spam

Email spam, also known as junk email, is a type of electronic spam where unsolicited messages are sent by email.

New!!: Type I and type II errors and Email spam · See more »

Errors of impunity

Errors of impunity is a term used in 's book Errors of Justice and in Robert Bohm's introduction to a special edition of The Journal of Criminal Justice on miscarriages of justice.

New!!: Type I and type II errors and Errors of impunity · See more »

Ethics in mathematics

Ethics in mathematics is a field of applied ethics, the inquiry into ethical aspects of the applications of mathematics.

New!!: Type I and type II errors and Ethics in mathematics · See more »

Facial recognition system

A facial recognition system is a technology capable of identifying or verifying a person from a digital image or a video frame from a video source.

New!!: Type I and type II errors and Facial recognition system · See more »

False alarm

A false alarm, also called a nuisance alarm, is the deceptive or erroneous report of an emergency, causing unnecessary panic and/or bringing resources (such as emergency services) to a place where they are not needed.

New!!: Type I and type II errors and False alarm · See more »

False positive paradox

The false positive paradox is a statistical result where false positive tests are more probable than true positive tests, occurring when the overall population has a low incidence of a condition and the incidence rate is lower than the false positive rate.

New!!: Type I and type II errors and False positive paradox · See more »

False positives and false negatives

In medical testing, and more generally in binary classification, a false positive is an error in data reporting in which a test result improperly indicates presence of a condition, such as a disease (the result is positive), when in reality it is not present, while a false negative is an error in which a test result improperly indicates no presence of a condition (the result is negative), when in reality it is present.

New!!: Type I and type II errors and False positives and false negatives · See more »

Family-wise error rate

In statistics, family-wise error rate (FWER) is the probability of making one or more false discoveries, or type I errors when performing multiple hypotheses tests.

New!!: Type I and type II errors and Family-wise error rate · See more »

Fingerprint

A fingerprint in its narrow sense is an impression left by the friction ridges of a human finger.

New!!: Type I and type II errors and Fingerprint · See more »

Florence Nightingale David

Florence Nightingale David, also known as F. N. David (23 August 1909 – 23 July 1993) was an English statistician, born in Ivington, Herefordshire, England.

New!!: Type I and type II errors and Florence Nightingale David · See more »

Fluoride

Fluoride.

New!!: Type I and type II errors and Fluoride · See more »

Hepatitis

Hepatitis is inflammation of the liver tissue.

New!!: Type I and type II errors and Hepatitis · See more »

Heuristic (computer science)

In computer science, artificial intelligence, and mathematical optimization, a heuristic (from Greek εὑρίσκω "I find, discover") is a technique designed for solving a problem more quickly when classic methods are too slow, or for finding an approximate solution when classic methods fail to find any exact solution.

New!!: Type I and type II errors and Heuristic (computer science) · See more »

Hook effect

The hook effect or the prozone effect is a type of interference which plagues certain immunoassays and nephelometric assays, resulting in false negatives or inaccurately low results.

New!!: Type I and type II errors and Hook effect · See more »

Hypothesis

A hypothesis (plural hypotheses) is a proposed explanation for a phenomenon.

New!!: Type I and type II errors and Hypothesis · See more »

Hypothyroidism

Hypothyroidism, also called underactive thyroid or low thyroid, is a disorder of the endocrine system in which the thyroid gland does not produce enough thyroid hormone.

New!!: Type I and type II errors and Hypothyroidism · See more »

Information retrieval

Information retrieval (IR) is the activity of obtaining information system resources relevant to an information need from a collection of information resources.

New!!: Type I and type II errors and Information retrieval · See more »

Iris recognition

Iris recognition is an automated method of biometric identification that uses mathematical pattern-recognition techniques on video images of one or both of the irises of an individual's eyes, whose complex patterns are unique, stable, and can be seen from some distance.

New!!: Type I and type II errors and Iris recognition · See more »

Jerzy Neyman

Jerzy Neyman (April 16, 1894 – August 5, 1981), born Jerzy Spława-Neyman, was a Polish mathematician and statistician who spent the first part of his professional career at various institutions in Warsaw, Poland and then at University College London, and the second part at the University of California, Berkeley.

New!!: Type I and type II errors and Jerzy Neyman · See more »

K. Ruben Gabriel

Kuno Ruben Gabriel (1929–2003) was a statistician known for the inventing the biplot and the Gabriel graph and for his work in statistical meteorology.

New!!: Type I and type II errors and K. Ruben Gabriel · See more »

Mammography

Mammography (also called mastography) is the process of using low-energy X-rays (usually around 30 kVp) to examine the human breast for diagnosis and screening.

New!!: Type I and type II errors and Mammography · See more »

Medical test

A medical test is a medical procedure performed to detect, diagnose, or monitor diseases, disease processes, susceptibility, and determine a course of treatment.

New!!: Type I and type II errors and Medical test · See more »

Miscarriage of justice

A miscarriage of justice is primarily the conviction and punishment of a person for a crime they did not commit.

New!!: Type I and type II errors and Miscarriage of justice · See more »

Netherlands

The Netherlands (Nederland), often referred to as Holland, is a country located mostly in Western Europe with a population of seventeen million.

New!!: Type I and type II errors and Netherlands · See more »

Neyman–Pearson lemma

In statistics, the Neyman–Pearson lemma was introduced by Jerzy Neyman and Egon Pearson in a paper in 1933.

New!!: Type I and type II errors and Neyman–Pearson lemma · See more »

Null hypothesis

In inferential statistics, the term "null hypothesis" is a general statement or default position that there is no relationship between two measured phenomena, or no association among groups.

New!!: Type I and type II errors and Null hypothesis · See more »

Old wives' tale

Old wives' tale is a term used to indicate that a supposed truth is actually spurious or a superstition.

New!!: Type I and type II errors and Old wives' tale · See more »

Optical character recognition

Optical character recognition (also optical character reader, OCR) is the mechanical or electronic conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene-photo (for example the text on signs and billboards in a landscape photo) or from subtitle text superimposed on an image (for example from a television broadcast).

New!!: Type I and type II errors and Optical character recognition · See more »

Pap test

The Papanicolaou test (abbreviated as Pap test, also known as Pap smear, cervical smear, or smear test) is a method of cervical screening used to detect potentially pre-cancerous and cancerous processes in the cervix (opening of the uterus or womb).

New!!: Type I and type II errors and Pap test · See more »

Phenylketonuria

Phenylketonuria (PKU) is an inborn error of metabolism that results in decreased metabolism of the amino acid phenylalanine.

New!!: Type I and type II errors and Phenylketonuria · See more »

Placebo

A placebo is a substance or treatment of no intended therapeutic value.

New!!: Type I and type II errors and Placebo · See more »

Positive and negative predictive values

The positive and negative predictive values (PPV and NPV respectively) are the proportions of positive and negative results in statistics and diagnostic tests that are true positive and true negative results, respectively.

New!!: Type I and type II errors and Positive and negative predictive values · See more »

Power (statistics)

The power of a binary hypothesis test is the probability that the test correctly rejects the null hypothesis (H0) when a specific alternative hypothesis (H1) is true.

New!!: Type I and type II errors and Power (statistics) · See more »

Precision and recall

In pattern recognition, information retrieval and binary classification, precision (also called positive predictive value) is the fraction of relevant instances among the retrieved instances, while recall (also known as sensitivity) is the fraction of relevant instances that have been retrieved over the total amount of relevant instances.

New!!: Type I and type II errors and Precision and recall · See more »

Prosecutor's fallacy

The prosecutor's fallacy is a fallacy of statistical reasoning, typically used by the prosecution to argue for the guilt of a defendant during a criminal trial.

New!!: Type I and type II errors and Prosecutor's fallacy · See more »

Receiver operating characteristic

In statistics, a receiver operating characteristic curve, i.e. ROC curve, is a graphical plot that illustrates the diagnostic ability of a binary classifier system as its discrimination threshold is varied.

New!!: Type I and type II errors and Receiver operating characteristic · See more »

Ronald Fisher

Sir Ronald Aylmer Fisher (17 February 1890 – 29 July 1962), who published as R. A. Fisher, was a British statistician and geneticist.

New!!: Type I and type II errors and Ronald Fisher · See more »

Roxy Peck

Roxy L. Peck is a statistics educator.

New!!: Type I and type II errors and Roxy Peck · See more »

Screening (medicine)

Screening, in medicine, is a strategy used in a population to identify the possible presence of an as-yet-undiagnosed disease in individuals without signs or symptoms.

New!!: Type I and type II errors and Screening (medicine) · See more »

Sensitivity (electronics)

The sensitivity of an electronic device, such as a communications system receiver, or detection device, such as a PIN diode, is the minimum magnitude of input signal required to produce a specified output signal having a specified signal-to-noise ratio, or other specified criteria.

New!!: Type I and type II errors and Sensitivity (electronics) · See more »

Sensitivity and specificity

Sensitivity and specificity are statistical measures of the performance of a binary classification test, also known in statistics as a classification function.

New!!: Type I and type II errors and Sensitivity and specificity · See more »

Spyware

Spyware is software that aims to gather information about a person or organization sometimes without their knowledge, that may send such information to another entity without the consumer's consent, that asserts control over a device without the consumer's knowledge, or it may send such information to another entity with the consumer's consent, through cookies.

New!!: Type I and type II errors and Spyware · See more »

Statistical hypothesis testing

A statistical hypothesis, sometimes called confirmatory data analysis, is a hypothesis that is testable on the basis of observing a process that is modeled via a set of random variables.

New!!: Type I and type II errors and Statistical hypothesis testing · See more »

Statistical significance

In statistical hypothesis testing, a result has statistical significance when it is very unlikely to have occurred given the null hypothesis.

New!!: Type I and type II errors and Statistical significance · See more »

Statisticians' and engineers' cross-reference of statistical terms

The following terms are used by electrical engineers in statistical signal processing studies instead of typical statistician's terms.

New!!: Type I and type II errors and Statisticians' and engineers' cross-reference of statistical terms · See more »

Statistics

Statistics is a branch of mathematics dealing with the collection, analysis, interpretation, presentation, and organization of data.

New!!: Type I and type II errors and Statistics · See more »

Stenosis

A stenosis is an abnormal narrowing in a blood vessel or other tubular organ or structure.

New!!: Type I and type II errors and Stenosis · See more »

Testing hypotheses suggested by the data

In statistics, hypotheses suggested by a given dataset, when tested with the same dataset that suggested them, are likely to be accepted even when they are not true.

New!!: Type I and type II errors and Testing hypotheses suggested by the data · See more »

Tooth decay

Tooth decay, also known as dental caries or cavities, is a breakdown of teeth due to acids made by bacteria.

New!!: Type I and type II errors and Tooth decay · See more »

Trojan horse (computing)

In computing, a Trojan horse, or Trojan, is any malicious computer program which misleads users of its true intent.

New!!: Type I and type II errors and Trojan horse (computing) · See more »

Type III error

In statistical hypothesis testing, there are various notions of so-called type III errors (or errors of the third kind), and sometimes type IV errors or higher, by analogy with the type I and type II errors of Jerzy Neyman and Egon Pearson.

New!!: Type I and type II errors and Type III error · See more »

Visual inspection

Visual inspection is a common method of quality control, data acquisition, and data analysis.

New!!: Type I and type II errors and Visual inspection · See more »

Redirects here:

A error, Alpha error, Alpha level, B error, Beta error, Error of the first kind, Error of the fourth kind, Error of the second kind, Error of the third kind, Failed to show, False Alarm Rate, False alarm rate, False negative reaction, False negative reactions, False positive reaction, False positive reactions, False-negative, False-negative test result, False-positive, False-positive test result, Falsepositive, Level of significance, Significance level, Type 1 and Type 2 errors, Type 1 and type 2 error, Type 1 error, Type 2 error, Type I Error, Type I and Type II errors, Type I and type II error, Type I error, Type I error rate, Type I errors, Type II Error, Type II error, Type II errors, Type i and type ii error, Type one error, Types of error, Α error, Β error.

References

[1] https://en.wikipedia.org/wiki/Type_I_and_type_II_errors

OutgoingIncoming
Hey! We are on Facebook now! »