48 relations: A/B testing, ABX test, Alternative hypothesis, American Statistical Association, Bayesian statistics, Clinical significance, Coefficient of determination, Conditional probability, Confidence interval, Data dredging, Deirdre McCloskey, Effect size, Egon Pearson, Experiment, Fisher's method, Genome-wide association study, Higgs boson, Human sex ratio, Independence (probability theory), Jerzy Neyman, John Arbuthnot, Look-elsewhere effect, Manufacturing, Multiple comparisons problem, Normal distribution, Null hypothesis, Observational study, One- and two-tailed tests, P-value, Particle physics, Pearson correlation coefficient, Philosophical Transactions of the Royal Society, Philosophical Transactions of the Royal Society A, Pierre-Simon Laplace, Power (statistics), Research question, Ronald Fisher, Sample (statistics), Sample size determination, Sampling distribution, Sampling error, Standard deviation, Statistical hypothesis testing, Statistical population, Stephen Ziliak, Texas sharpshooter fallacy, Type I and type II errors, University of Michigan Press.

## A/B testing

In web analytics, A/B testing (bucket tests or split-run testing) is a randomized experiment with two variants, A and B. It includes application of statistical hypothesis testing or "two-sample hypothesis testing" as used in the field of statistics.

New!!: Statistical significance and A/B testing · See more »

## ABX test

An ABX test is a method of comparing two choices of sensory stimuli to identify detectable differences between them.

New!!: Statistical significance and ABX test · 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!!: Statistical significance and Alternative hypothesis · See more »

## American Statistical Association

The American Statistical Association (ASA) is the main professional organization for statisticians and related professionals in the United States.

New!!: Statistical significance and American Statistical Association · See more »

## Bayesian statistics

Bayesian statistics, named for Thomas Bayes (1701–1761), is a theory in the field of statistics in which the evidence about the true state of the world is expressed in terms of degrees of belief known as Bayesian probabilities.

New!!: Statistical significance and Bayesian statistics · See more »

## Clinical significance

In medicine and psychology, clinical significance is the practical importance of a treatment effect—whether it has a real genuine, palpable, noticeable effect on daily life.

New!!: Statistical significance and Clinical significance · See more »

## Coefficient of determination

In statistics, the coefficient of determination, denoted R2 or r2 and pronounced "R squared", is the proportion of the variance in the dependent variable that is predictable from the independent variable(s).

New!!: Statistical significance and Coefficient of determination · See more »

## Conditional probability

In probability theory, conditional probability is a measure of the probability of an event (some particular situation occurring) given that (by assumption, presumption, assertion or evidence) another event has occurred.

New!!: Statistical significance and Conditional probability · See more »

## Confidence interval

In statistics, a confidence interval (CI) is a type of interval estimate, computed from the statistics of the observed data, that might contain the true value of an unknown population parameter.

New!!: Statistical significance and Confidence interval · See more »

## Data dredging

Data dredging (also data fishing, data snooping, and '''''p'''''-hacking) is the use of data mining to uncover patterns in data that can be presented as statistically significant, without first devising a specific hypothesis as to the underlying causality.

New!!: Statistical significance and Data dredging · See more »

## Deirdre McCloskey

Deirdre Nansen McCloskey (born September 11, 1942), born Donald N. McCloskey, is the Distinguished Professor of Economics, History, English, and Communication at the University of Illinois at Chicago (UIC).

New!!: Statistical significance and Deirdre McCloskey · See more »

## Effect size

In statistics, an effect size is a quantitative measure of the magnitude of a phenomenon.

New!!: Statistical significance and Effect size · 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!!: Statistical significance and Egon Pearson · See more »

## Experiment

An experiment is a procedure carried out to support, refute, or validate a hypothesis.

New!!: Statistical significance and Experiment · See more »

## Fisher's method

In statistics, Fisher's method, also known as Fisher's combined probability test, is a technique for data fusion or "meta-analysis" (analysis of analyses).

New!!: Statistical significance and Fisher's method · See more »

## Genome-wide association study

In genetics, a genome-wide association study (GWA study, or GWAS), also known as whole genome association study (WGA study, or WGAS), is an observational study of a genome-wide set of genetic variants in different individuals to see if any variant is associated with a trait.

New!!: Statistical significance and Genome-wide association study · See more »

## Higgs boson

The Higgs boson is an elementary particle in the Standard Model of particle physics.

New!!: Statistical significance and Higgs boson · See more »

## Human sex ratio

In anthropology and demography, the human sex ratio is the ratio of males to females in a population.

New!!: Statistical significance and Human sex ratio · See more »

## Independence (probability theory)

In probability theory, two events are independent, statistically independent, or stochastically independent if the occurrence of one does not affect the probability of occurrence of the other.

New!!: Statistical significance and Independence (probability theory) · 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!!: Statistical significance and Jerzy Neyman · See more »

## John Arbuthnot

John Arbuthnot (baptised 29 April 1667 – 27 February 1735), often known simply as Dr Arbuthnot, was a Scottish physician, satirist and polymath in London.

New!!: Statistical significance and John Arbuthnot · See more »

## Look-elsewhere effect

The look-elsewhere effect is a phenomenon in the statistical analysis of scientific experiments, particularly in complex particle physics experiments, where an apparently statistically significant observation may have actually arisen by chance because of the size of the parameter space to be searched.

New!!: Statistical significance and Look-elsewhere effect · See more »

## Manufacturing

Manufacturing is the production of merchandise for use or sale using labour and machines, tools, chemical and biological processing, or formulation.

New!!: Statistical significance and Manufacturing · See more »

## Multiple comparisons problem

In statistics, the multiple comparisons, multiplicity or multiple testing problem occurs when one considers a set of statistical inferences simultaneously or infers a subset of parameters selected based on the observed values.

New!!: Statistical significance and Multiple comparisons problem · See more »

## Normal distribution

In probability theory, the normal (or Gaussian or Gauss or Laplace–Gauss) distribution is a very common continuous probability distribution.

New!!: Statistical significance and Normal distribution · 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!!: Statistical significance and Null hypothesis · See more »

## Observational study

In fields such as epidemiology, social sciences, psychology and statistics, an observational study draws inferences from a sample to a population where the independent variable is not under the control of the researcher because of ethical concerns or logistical constraints.

New!!: Statistical significance and Observational study · See more »

## One- and two-tailed tests

In statistical significance testing, a one-tailed test and a two-tailed test are alternative ways of computing the statistical significance of a parameter inferred from a data set, in terms of a test statistic.

New!!: Statistical significance and One- and two-tailed tests · See more »

## P-value

In statistical hypothesis testing, the p-value or probability value or asymptotic significance is the probability for a given statistical model that, when the null hypothesis is true, the statistical summary (such as the sample mean difference between two compared groups) would be the same as or of greater magnitude than the actual observed results.

New!!: Statistical significance and P-value · See more »

## Particle physics

Particle physics (also high energy physics) is the branch of physics that studies the nature of the particles that constitute matter and radiation.

New!!: Statistical significance and Particle physics · See more »

## Pearson correlation coefficient

In statistics, the Pearson correlation coefficient (PCC, pronounced), also referred to as Pearson's r, the Pearson product-moment correlation coefficient (PPMCC) or the bivariate correlation, is a measure of the linear correlation between two variables X and Y. It has a value between +1 and −1, where 1 is total positive linear correlation, 0 is no linear correlation, and −1 is total negative linear correlation.

New!!: Statistical significance and Pearson correlation coefficient · See more »

## Philosophical Transactions of the Royal Society

Philosophical Transactions, titled Philosophical Transactions of the Royal Society (often abbreviated as Phil. Trans.) from 1776, is a scientific journal published by the Royal Society.

New!!: Statistical significance and Philosophical Transactions of the Royal Society · See more »

## Philosophical Transactions of the Royal Society A

Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences is a fortnightly peer-reviewed scientific journal published by the Royal Society.

New!!: Statistical significance and Philosophical Transactions of the Royal Society A · See more »

## Pierre-Simon Laplace

Pierre-Simon, marquis de Laplace (23 March 1749 – 5 March 1827) was a French scholar whose work was important to the development of mathematics, statistics, physics and astronomy.

New!!: Statistical significance and Pierre-Simon Laplace · 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!!: Statistical significance and Power (statistics) · See more »

## Research question

Specifying the research question is the methodological point of departure of scholarly research in both the natural and social sciences.

New!!: Statistical significance and Research question · 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!!: Statistical significance and Ronald Fisher · See more »

## Sample (statistics)

In statistics and quantitative research methodology, a data sample is a set of data collected and/or selected from a statistical population by a defined procedure.

New!!: Statistical significance and Sample (statistics) · See more »

## Sample size determination

Sample size determination is the act of choosing the number of observations or replicates to include in a statistical sample.

New!!: Statistical significance and Sample size determination · See more »

## Sampling distribution

In statistics, a sampling distribution or finite-sample distribution is the probability distribution of a given random-sample-based statistic.

New!!: Statistical significance and Sampling distribution · See more »

## Sampling error

In statistics, sampling error is incurred when the statistical characteristics of a population are estimated from a subset, or sample, of that population.

New!!: Statistical significance and Sampling error · See more »

## Standard deviation

In statistics, the standard deviation (SD, also represented by the Greek letter sigma σ or the Latin letter s) is a measure that is used to quantify the amount of variation or dispersion of a set of data values.

New!!: Statistical significance and Standard deviation · 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!!: Statistical significance and Statistical hypothesis testing · See more »

## Statistical population

In statistics, a population is a set of similar items or events which is of interest for some question or experiment.

New!!: Statistical significance and Statistical population · See more »

## Stephen Ziliak

Stephen T. Ziliak (born October 17, 1963) is an American professor of economics whose research and essays span disciplines from statistics and beer brewing to medicine and poetry.

New!!: Statistical significance and Stephen Ziliak · See more »

## Texas sharpshooter fallacy

The Texas sharpshooter fallacy is an informal fallacy which is committed when differences in data are ignored, but similarities are stressed.

New!!: Statistical significance and Texas sharpshooter fallacy · See more »

## 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).

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

## University of Michigan Press

The University of Michigan Press is part of Michigan Publishing at the University of Michigan Library.

New!!: Statistical significance and University of Michigan Press · See more »

## Redirects here:

Significance (statistics), Significant difference, Significant reduction, Statistical insignificance, Statistical significance (estimation statistics), Statistical significance (hypothesis testing), Statistical significant, Statistically insignificant, Statistically significant.