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Statistic used in statistical hypothesis testing
common test statistics and their corresponding statistical tests or models. Test statistic is a quantity derived from the sample for statistical hypothesis
Test_statistic
Statistical hypothesis test
variances among multiple samples, are significantly different. The test calculates a statistic, represented by the random variable F, and checks if it follows
F-test
Statistical test comparing two probability distributions
(two-sample K–S test). It is named after Andrey Kolmogorov and Nikolai Smirnov, who developed it in the 1930s. The Kolmogorov–Smirnov statistic quantifies
Kolmogorov–Smirnov_test
Method of statistical inference
A statistical hypothesis test typically involves a calculation of a test statistic. Then a decision is made, either by comparing the test statistic to
Statistical_hypothesis_test
Statistical hypothesis test
is statistically significant or not. It is any statistical hypothesis test in which the test statistic follows a Student's t-distribution under the null
Student's_t-test
Statistical hypothesis test
independent in influencing the test statistic (values within the table). The test is valid when the test statistic is chi-squared distributed under the
Chi-squared_test
Test statistic
In statistics, the Durbin–Watson statistic is a test statistic used to detect the presence of autocorrelation at lag 1 in the residuals (prediction errors)
Durbin–Watson_statistic
Evaluates how likely it is that any difference between data sets arose by chance
test statistic and its distribution, names similar to Pearson χ-squared test or statistic are used. It is a p-value test. A simple example is testing
Pearson's_chi-squared_test
Statistical test
statistic takes its name. The Box–Pierce test statistic is a simplified version of the Ljung–Box statistic for which subsequent simulation studies have
Ljung–Box_test
Statistical test that compares goodness of fit
statistics, the likelihood-ratio test is a hypothesis test that involves comparing the goodness of fit of two competing statistical models, typically one found
Likelihood-ratio_test
Single measure of some attribute of a sample
descriptive statistic is used to summarize the sample data. A test statistic is used in statistical hypothesis testing. A single statistic can be used
Statistic
Statistical test
Anderson–Darling test is a statistical test of whether a given sample of data is drawn from a given probability distribution. In its basic form, the test assumes
Anderson–Darling_test
Normality test
The test statistic is always nonnegative. If it is far from zero, it signals the data does not have a normal distribution. The test statistic JB is
Jarque–Bera_test
Test of normality in frequentist statistics
sample x1, ..., xn came from a normally distributed population. The test statistic is W = ( ∑ i = 1 n a i x ( i ) ) 2 ∑ i = 1 n ( x i − x ¯ ) 2 , {\displaystyle
Shapiro–Wilk_test
Exact statistical hypothesis test
A permutation test (also called re-randomization test or shuffle test) is an exact statistical hypothesis test. A permutation test involves two or more
Permutation_test
Statistical test
parameter restriction can lead to different values of the test statistic. That is because the Wald statistic is derived from a Taylor expansion, and different
Wald_test
Hypothesis test to compare the survival distributions of two samples
proposed by Nathan Mantel and was named the logrank test by Richard and Julian Peto. The logrank test statistic compares estimates of the hazard functions of
Logrank_test
Statistical hypothesis test
The Wilcoxon signed-rank test is a non-parametric rank test for statistical hypothesis testing used either to test the location of a population based
Wilcoxon_signed-rank_test
Ratio in statistics
error. It is used in hypothesis testing via Student's t-test. The t-statistic is used in a t-test to determine whether to support or reject the null hypothesis
T-statistic
Statistical test
the Breusch–Pagan test. It is a chi-squared test: the test statistic is distributed nχ2 with k degrees of freedom. If the test statistic has a p-value below
Breusch–Pagan_test
Statistical test
A Z-test is any statistical test for which the distribution of the test statistic under the null hypothesis can be approximated by a normal distribution
Z-test
Function of the observed sample results
hypothesis of obtaining a real-valued test statistic at least as extreme as the one obtained. Consider an observed test-statistic t {\displaystyle t} from unknown
P-value
Study of collection and analysis of data
hypothesis is true, of observing a result at least as extreme as the test statistic. Therefore, the smaller the significance level, the lower the probability
Statistics
Ways of computing statistical significance
significance of a parameter inferred from a data set, in terms of a test statistic. A two-tailed test is appropriate if the estimated value is greater or less than
One-_and_two-tailed_tests
Statistical tests are used to test the fit between a hypothesis and the data. Choosing the right statistical test is not a trivial task. The choice of
List_of_statistical_tests
Term in statistical hypothesis testing
a given test in a given context. In typical use, it is a function of the specific test that is used (including the choice of test statistic and significance
Power_(statistics)
Non-parametric method for testing whether samples originate from the same distribution
Allen Wallis), or one-way ANOVA on ranks is a non-parametric statistical test for testing whether samples originate from the same distribution. It is used
Kruskal–Wallis_test
Statistical test for multiple comparisons
single-step multiple comparison procedure and statistical test. It can be used to correctly interpret the statistical significance of the difference between
Tukey's_range_test
Statistical test
In statistics, G-tests are likelihood-ratio or maximum likelihood statistical significance tests that are increasingly being used in situations where
G-test
Nonparametric test of the null hypothesis
U} test (also called the Mann–Whitney–Wilcoxon (MWW/MWU), Wilcoxon rank-sum test, or Wilcoxon–Mann–Whitney test) is a nonparametric statistical test of
Mann–Whitney_U_test
Probability distribution
plays a role in a number of widely used statistical analyses, including Student's t-test for assessing the statistical significance of the difference between
Student's_t-distribution
Statistical test of variance
Omnibus tests are a kind of statistical test. They test whether the explained variance in a set of data is significantly greater than the unexplained
Omnibus_test
Statistical test used on paired nominal data
McNemar's test is a statistical test used on paired nominal data. It is applied to 2 × 2 contingency tables with a dichotomous trait, with matched pairs
McNemar's_test
Statistical significance test
Fisher's exact test (also the Fisher–Irwin test) is a statistical significance test used in the analysis of contingency tables. Although in practice it
Fisher's_exact_test
Statistical test of equal group variances
Levene's test is an inferential statistic used to assess the equality of variances for a variable calculated for two or more groups. This test is used
Levene's_test
Statistical test based on the gradient of the likelihood function
In statistics, the score test assesses constraints on statistical parameters based on the gradient of the likelihood function—known as the score—evaluated
Score_test
Statistical theorem
log-likelihood ratio statistic, which can be used to produce confidence intervals for maximum-likelihood estimates or as a test statistic for performing the
Wilks'_theorem
Statistical test for normality of data
Kolmogorov–Smirnov test, this will be the test statistic. Finally, assess whether the maximum discrepancy is large enough to be statistically significant, thus
Lilliefors_test
Statistical methods for comparing samples
The two-proportion Z-test (also called the two-sample proportion Z-test) is a statistical hypothesis test for assessing whether two groups differ in the
Two-proportion_Z-test
Statistical test used to test homoscedasticity
(Mean Square Error/Estimator) Bartlett test is represented here. This test procedure is based on the statistic whose sampling distribution is approximately
Bartlett's_test
Time series statistical test
set of time series models. The augmented Dickey–Fuller (ADF) statistic, used in the test, is a negative number. The more negative it is, the stronger
Augmented_Dickey–Fuller_test
Non-parametric statistical test
The Friedman test is a non-parametric statistical test developed by Milton Friedman. Similar to the parametric repeated measures ANOVA, it is used to
Friedman_test
Statistical test
White test is a statistical test that establishes whether the variance of the errors in a regression model is constant: that is for homoskedasticity. This
White_test
Statistical test for equality of variances
assumption is not valid, the resulting F-test is invalid. The Brown–Forsythe test statistic is the F statistic resulting from an ordinary one-way analysis
Brown–Forsythe_test
Index that describes the performance of a dichotomous diagnostic test
Youden's J statistic (also called Youden's index) is a single statistic that captures the performance of a dichotomous diagnostic test. In meteorology
Youden's_J_statistic
Mathematical test proposed by Gregory Chow
The Chow test (Chinese: 鄒檢定), proposed by econometrician Gregory Chow in 1960, is a statistical test of whether the true coefficients in two linear regressions
Chow_test
Statistical test
Sargan–Hansen test or Sargan's J {\displaystyle J} test is a statistical test used for testing over-identifying restrictions in a statistical model. It was
Sargan–Hansen_test
Statistical test
Mauchly's sphericity test or Mauchly's W is a statistical test used to validate a repeated measures analysis of variance (ANOVA). It was developed in
Mauchly's_sphericity_test
Categorical data analysis trend
variables where R1 = N11 + N12 + N13, and C1 = N11 + N21, etc. The trend test statistic is T ≡ ∑ i = 1 k t i ( N 1 i R 2 − N 2 i R 1 ) , {\displaystyle T\equiv
Cochran–Armitage test for trend
Cochran–Armitage_test_for_trend
distribution of the test statistic are met. Using an exact test provides a significance test that maintains the type I error rate of the test ( α {\displaystyle
Exact_test
Statistical test
data set Ha: There is exactly one outlier in the data set The Grubbs test statistic is defined as G = max i = 1 , … , n | Y i − Y ¯ | s {\displaystyle G={\frac
Grubbs's_test
Statistical test
compared. The trick with Kuiper's test is to use the quantity D+ + D− as the test statistic. This small change makes Kuiper's test as sensitive in the tails as
Kuiper's_test
Experiment methodology
includes application of statistical hypothesis testing or "two-sample hypothesis testing" as used in the field of statistics. A/B testing is employed to compare
A/B_testing
Statistical test for logistic regression models
The Hosmer–Lemeshow test is a statistical test for goodness of fit and calibration for logistic regression models. It is used frequently in risk prediction
Hosmer–Lemeshow_test
Systemic inaccuracy
single test, but an entire family of tests, using a test statistic. Let T {\displaystyle T} be a test statistic. For each significance level p ∈ [ 0
Bias_(statistics)
Statistical interpretation with many tests
multiplicity or multiple testing problem occurs when many statistical tests are performed on the same dataset. Each test has its own chance of a Type
Multiple_comparisons_problem
Position that there is no relationship between two phenomena
statistical noise. The statement being tested in a test of statistical significance is called the null hypothesis. The test of significance is designed to assess
Null_hypothesis
Test used in the analysis of stratified or matched categorical data
well-behaved statistic satisfying subset stability. The McNemar test can only handle pairs. The CMH test is a generalization of the McNemar test as their test statistics
Cochran–Mantel–Haenszel statistics
Cochran–Mantel–Haenszel_statistics
Statistical hypothesis test for the presence of serial correlation
residuals from the model being considered in a regression analysis, and a test statistic is derived from these. The null hypothesis is that there is no serial
Breusch–Godfrey_test
Test statistic
In statistics, the reduced chi-square statistic is used extensively in goodness of fit testing. It is also known as mean squared weighted deviation (MSWD)
Reduced_chi-squared_statistic
Test of statistical significance
Binomial test is an exact test of the statistical significance of deviations from a theoretically expected distribution of observations into two categories
Binomial_test
Probability distribution and special case of gamma distribution
hypothesis testing is its relationship to the normal distribution. Many hypothesis tests use a test statistic, such as the t-statistic in a t-test. For these
Chi-squared_distribution
Rank correlation statistic used for inter-rater agreement
concordance) is a non-parametric statistic for rank correlation. It is a normalization of the statistic of the Friedman test, and can be used for assessing
Kendall's_W
Experiments to test Bell's theorem in quantum mechanics
subexperiments are conducted, corresponding to the four terms E(a, b) in the test statistic S (equation (2) shown below). The settings a, a′, b and b′ are generally
Bell_test
Probability distribution of the test statistic under the null hypothesis
In statistical hypothesis testing, the null distribution is the probability distribution of the test statistic when the null hypothesis is true. For example
Null_distribution
chi-square tests, one rejects a null hypothesis about a population distribution if a specified test statistic is too large, when that statistic would have
Minimum_chi-square_estimation
versus control comparisons. It is a rank test for the two-sample location-scale problem. The Lepage test statistic is the squared Euclidean distance of the
Lepage_test
Statistical test of a mediation effect
testing the regression. One strategy to overcome the non-normality of the product of coefficients distribution is to compare the Sobel test statistic
Sobel_test
Type of probability distribution
Hotelling's t-squared statistic (t2) is a generalization of Student's t-statistic that is used in multivariate hypothesis testing. The distribution arises
Hotelling's T-squared distribution
Hotelling's_T-squared_distribution
Collection of statistical models
simplest form, it provides a statistical test of whether two or more population means are equal, and therefore generalizes the t-test beyond two means. While
Analysis_of_variance
Statistical method for handling multiple comparisons
{\displaystyle P_{(1)},\ldots ,P_{(m)}} . A procedure that goes from a small test-statistic to a large one will be called a step-up procedure. In a similar way
False_discovery_rate
Type of scatter plot
its y value can be -log10 of the p value from a Chi-square test or a Chi-square test statistic. Volcano plots show a characteristic upwards two arm shape
Volcano_plot_(statistics)
Statistical principle
is a property of a statistic computed on a sample dataset in relation to a parametric model of the dataset. A sufficient statistic for a model parameter
Sufficient_statistic
The Shapiro–Francia test is a statistical test for the normality of a population, based on sample data. It was introduced by S. S. Shapiro and R. S. Francia
Shapiro–Francia_test
Function related to statistics and probability theory
Wilks' theorem), the test statistic is twice the difference in log-likelihoods and the probability distribution of the test statistic is approximately a
Likelihood_function
Statistical measure of the magnitude of a phenomenon
measure of the magnitude of a phenomenon. It can refer to the value of a statistic calculated from a sample of data, the value of one parameter for a hypothetical
Effect_size
Test used in statistics
being discussed in this article is that of two populations, where the test statistic used is the ratio of two sample variances. This particular situation
F-test of equality of variances
F-test_of_equality_of_variances
Algorithm to assess the integrity of GPS signals
enables them to continue to operate in the presence of a GPS failure. The test statistic used is a function of the pseudorange measurement residual (the difference
Receiver autonomous integrity monitoring
Receiver_autonomous_integrity_monitoring
Probability that random variable X is less than or equal to x
statistic at least as extreme as the one observed. Thus, provided that the test statistic, T, has a continuous distribution, the one-sided p-value is simply given
Cumulative distribution function
Cumulative_distribution_function
Statistical test
Cochran's Q {\displaystyle Q} test is a non-parametric statistical test to verify whether k treatments have identical effects in the analysis of two-way
Cochran's_Q_test
Statistical property
regression analysis and the analysis of variance, as it invalidates statistical tests of significance which assume that the modelling errors all have the
Homoscedasticity and heteroscedasticity
Homoscedasticity_and_heteroscedasticity
Statistical method
studentized test enjoys optimal properties as the statistic that is bootstrapped is pivotal (i.e. it does not depend on nuisance parameters as the t-test follows
Bootstrapping_(statistics)
Statistics used in genome assembly
size, the NG50 statistic will not be more than the N50 statistic. The D50 statistic (also termed D50 test) is similar to the N50 statistic in definition
N50, L50, and related statistics
N50,_L50,_and_related_statistics
Formula used for traffic
The GEH Statistic is a formula used in traffic engineering, traffic forecasting, and traffic modelling to compare two sets of traffic volumes. The GEH
GEH_statistic
Topics referred to by the same term
Look up test, testing, Test, or TEST in Wiktionary, the free dictionary. Test(s), testing, or TEST may refer to: Test (assessment), an educational assessment
Test
Observed inability to reproduce scientific studies
effect size is used for statistical testing, it is called a test statistic. A null hypothesis test is a decision procedure which takes in some data, and outputs
Replication_crisis
Concepts from statistical hypothesis testing
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
Type_I_and_type_II_errors
Statistical procedure
groups. The formal test statistic for Dunnett's test is either the largest in absolute value of these t-statistics (if a two-tailed test is required), or
Dunnett's_test
Statistic for rank correlation
a statistic used to measure the ordinal association between two measured quantities. A τ test is a non-parametric hypothesis test for statistical dependence
Kendall rank correlation coefficient
Kendall_rank_correlation_coefficient
Concept in inferential statistics
In statistical hypothesis testing, a result has statistical significance when a result at least as "extreme" would be very infrequent if the null hypothesis
Statistical_significance
groups. The test statistic, F, assumes independence of observations, homogeneous variances, and population normality. ANOVA on ranks is a statistic designed
ANOVA_on_ranks
Statistical test
The Mantel test, named after Nathan Mantel, is a statistical test of the correlation between two matrices. The matrices must be of the same dimension;
Mantel_test
Test proposed by Stephen Goldfeld and Richard Quandt
rank. The test statistic used is the ratio of the mean square residual errors for the regressions on the two subsets. This test statistic corresponds
Goldfeld–Quandt_test
Statistical test
the t-test statistic. The test is robust with respect to unspecified autocorrelation and heteroscedasticity in the disturbance process of the test equation
Phillips–Perron_test
Statistical test for dose-response trends
Tukey's trend test (or the Tukey-Ciminera-Heyse trend test) is a non-parametric or semi-parametric statistical hypothesis test used to detect a dose–response
Tukey's_trend_test
Number of values in the final calculation of a statistic that are free to vary
dimension of an underlying vector subspace. Likewise, the one-sample t-test statistic, n ( X ¯ − μ 0 ) ∑ i = 1 n ( X i − X ¯ ) 2 / ( n − 1 ) {\displaystyle
Degrees of freedom (statistics)
Degrees_of_freedom_(statistics)
Generalization of the one-dimensional normal distribution to higher dimensions
distribution of this test statistic is a weighted sum of chi-squared random variables. A detailed survey of these and other test procedures is available
Multivariate normal distribution
Multivariate_normal_distribution
Process of using data analysis for predicting population data from sample data
the randomization distribution of a statistic (under the null-hypothesis) is defined by evaluating the test statistic for all of the plans that could have
Statistical_inference
Statistical test of whether two populations have equal means
approximate solution to the Behrens–Fisher problem. Welch's t-test defines the statistic t by the following formula: t = Δ X ¯ s Δ X ¯ = X ¯ 1 − X ¯ 2
Welch's_t-test
Durbin test is a non-parametric statistical test for balanced incomplete designs that reduces to the Friedman test in the case of a complete block design
Durbin_test
TEST STATISTIC
TEST STATISTIC
Surname or Lastname
Jewish (Ashkenazic)
Jewish (Ashkenazic) : metonymic occupational name for a refiner, from Yiddish test ‘crucible’, ‘melting pot’.English : nickname for someone with a large or otherwise remarkable head, from Old French teste ‘head’.
Girl/Female
American, Australian, British, Chinese, Christian, Danish, English, French, German, Greek, Latin, Swedish
Harvester; Guardian; Woman from Therasia; Hunter; Theresa; Late Summer; Fourth Child; Essence
Girl/Female
Hindu, Indian, Japanese, Marathi
A Flower Name
Surname or Lastname
English
English : topographic name for someone who lived by an ash tree, from the Middle English phrase at(te) asche ‘at (the) ash’, often at(te) esche in some dialects, especially in southeastern England.Probably an altered spelling of Tesch.
Boy/Male
English American
West town. Surname.
Girl/Female
British, English, Greek
Cute; Chaste; Holy
Girl/Female
Christian & English(British/American/Australian)
Harvester
Surname or Lastname
English, northern Irish, and French
English, northern Irish, and French : from Middle English, Old French beste ‘animal’, ‘beast’ (Latin bestia), applied either as a metonymic occupational name for someone who looked after beasts—a herdsman— or as a derogatory nickname for someone thought to resemble an animal, i.e. a violent, uncouth, or stupid man. It is unlikely that the name is derived from best, Old English betst, superlative of good. By far the most frequent spelling of the French surname is Beste, but it is likely that in North America this form has largely been assimilated to Best.German : from a short form of Sebastian.
Boy/Male
Australian, British, Chinese, English
West Town; Surname; From the Western Stream
Girl/Female
Greek American English
Reap; from Therasia.
Female
Welsh
Welsh pet form of Greek Hagne (English Agnes), NEST means "chaste; holy."
Surname or Lastname
English (West Midlands)
English (West Midlands) : unexplained.
Surname or Lastname
English (West Yorkshire)
English (West Yorkshire) : variant of Jagger.
Surname or Lastname
English (West Midlands)
English (West Midlands) : unexplained.
Surname or Lastname
English (West Midlands)
English (West Midlands) : unexplained.
Female
English
Short form of English Tessa, TESS means "harvester."Â
Surname or Lastname
English (West Yorkshire)
English (West Yorkshire) : variant of Latham.
Surname or Lastname
English (West Midlands)
English (West Midlands) : unexplained.
Boy/Male
Norse
Son of Oddleif.
Surname or Lastname
English and German
English and German : from Middle English, Middle High German west ‘west’, hence a topographic name for someone who lived to the west of a settlement, or a regional name for someone who had migrated from further west.This name was brought to North America independently by many bearers in the 17th and 18th centuries. Thomas West, 12th Baron De La Warre, was captain general of Virginia in 1610–11. The state of DE is named for him. One of the earliest permanent settlers was Francis West (1606–92), who came to Duxbury, MA, from Salisbury, Wiltshire, England, in or before 1638.
TEST STATISTIC
TEST STATISTIC
Boy/Male
Muslim/Islamic
Happy
Boy/Male
Hindu, Indian
Principle
Boy/Male
Hindu
Lord Venkateshwara, Residence of Goddess of wealth, Abode of wealth
Boy/Male
British, Danish, English, French, German
Se-bald (Sea Bald) Nickname for Balding Mermen
Girl/Female
Tamil
Amanyatha | அமாநà¯à®¯à®¤à®¾
Believed
Boy/Male
Tamil
Merciful
Girl/Female
American, Australian, British, Danish, English, French, German, Hebrew, Latin, Swedish
Bitter; Sea of Bitterness; Rebelliousness and Wished-for Child; Star of the Sea
Boy/Male
Hindu
Lord Murugan
Girl/Female
Muslim/Islamic
Generous noble
Boy/Male
Arabic Muslim English
Knight.
TEST STATISTIC
TEST STATISTIC
TEST STATISTIC
TEST STATISTIC
TEST STATISTIC
a.
Having good qualities in the highest degree; most good, kind, desirable, suitable, etc.; most excellent; as, the best man; the best road; the best cloth; the best abilities.
n.
A stage in traveling; a stop for rest or lodging in a journey or progress; a rest.
v. t.
To write in large characters, as in text hand.
v. t.
To put into a nest; to form a nest for.
n.
Examination or trial by the cupel; hence, any critical examination or decisive trial; as, to put a man's assertions to a test.
n.
A deed; an action; a gest.
n.
A style of writing in large characters; text-hand also, a kind of type used in printing; as, German text.
v. i.
To build and occupy a nest.
a.
Lying toward the west; situated at the west, or in a western direction from the point of observation or reckoning; proceeding toward the west, or coming from the west; as, a west course is one toward the west; an east and west line; a west wind blows from the west.
v. t.
To put to the proof; to prove the truth, genuineness, or quality of by experiment, or by some principle or standard; to try; as, to test the soundness of a principle; to test the validity of an argument.
v. t.
To lay or place at rest; to quiet.
a.
Most advanced; most correct or complete; as, the best scholar; the best view of a subject.
n.
Means of trial; as, absence is a test of love.
v. i.
To lodge as a tent; to tabernacle.
pl.
of Testa
v. t.
To examine or try, as by the use of some reagent; as, to test a solution by litmus paper.
v. t.
To refine, as gold or silver, in a test, or cupel; to subject to cupellation.
v. t.
To probe or to search with a tent; to keep open with a tent; as, to tent a wound. Used also figuratively.
n.
Alt. of Testa
v. i.
To turn or move toward the west; to veer from the north or south toward the west.