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Statistical test
chi-squared tests were previously recommended. The general formula for test statistics of the G-test is G = 2 ∑ i O i ⋅ ln ( O i E i ) , {\displaystyle G=2\sum
G-test
Statistical hypothesis test
Student's t-test is a statistical test used to test whether the difference between the response of two groups is statistically significant or not. It
Student's_t-test
Experiment methodology
A/B testing (also known as bucket testing, split-run testing or split testing) is a user-experience research method. A/B tests consist of a randomized
A/B_testing
Statistical hypothesis test
A chi-squared test (also chi-square or χ2 test) is a statistical hypothesis test used in the analysis of contingency tables when the sample sizes are large
Chi-squared_test
Metric for fit of statistical models
hypothesis testing, e.g. to test for normality of residuals, to test whether two samples are drawn from identical distributions (see Kolmogorov–Smirnov test),
Goodness_of_fit
Non-parametric method for testing whether samples originate from the same distribution
The Kruskal–Wallis test by ranks, Kruskal–Wallis H {\displaystyle H} test (named after William Kruskal and W. Allen Wallis), or one-way ANOVA on ranks
Kruskal–Wallis_test
Statistical hypothesis test
An F-test is a statistical test that compares variances. It is used to determine if the variances of two samples, or if the ratios of variances among multiple
F-test
Exact statistical hypothesis test
the same distribution H 0 : F = G {\displaystyle H_{0}:F=G} . Under the null hypothesis, the distribution of the test statistic is obtained by calculating
Permutation_test
Statistical test comparing two probability distributions
In statistics, the Kolmogorov–Smirnov test (also K–S test or KS test) is a nonparametric test of the equality of continuous (or discontinuous, see Section
Kolmogorov–Smirnov_test
Method of statistical inference
statistical hypothesis test typically involves a calculation of a test statistic. Then a decision is made, either by comparing the test statistic to a critical
Statistical_hypothesis_test
Statistical test
g. the Cochran–Mantel–Haenzel test is a score test. Z test Chow test Sequential probability ratio test Sup-Wald test Student's t-test Welch's t-test Two-proportion
Wald_test
Statistical test that compares goodness of fit
test statistics are tests for nested models and can be phrased as log-likelihood ratios or approximations thereof: e.g. the Z-test, the F-test, the G-test
Likelihood-ratio_test
Test of normality in frequentist statistics
Shapiro–Wilk test is a test of normality. It was published in 1965 by Samuel Sanford Shapiro and Martin Wilk. The Shapiro–Wilk test tests the null hypothesis
Shapiro–Wilk_test
Evaluates how likely it is that any difference between data sets arose by chance
It is the most widely used of many chi-squared tests (e.g., Yates, likelihood ratio, portmanteau test in time series, etc.) – statistical procedures whose
Pearson's_chi-squared_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
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
Statistical measure of the magnitude of a phenomenon
variables being studied do not have intrinsic meaning (e.g., a score on a personality test on an arbitrary scale), results from multiple studies are
Effect_size
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
Nonparametric measure of rank correlation
Software implementations. R's statistics base-package implements the test cor.test(x, y, method = "spearman") in its "stats" package (also cor(x, y, method
Spearman's rank correlation coefficient
Spearman's_rank_correlation_coefficient
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
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
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 the test depends
List_of_statistical_tests
Statistical test
Forecasting module. Q-statistic Wald–Wolfowitz runs test Breusch–Godfrey test Durbin–Watson test Box, G. E. P.; Pierce, D. A. (1970). "Distribution of Residual
Ljung–Box_test
Class of statistical tests
recent tests of normality include the energy test (Székely and Rizzo) and the tests based on the empirical characteristic function (ECF) (e.g. Epps and
Normality_test
Generalization of the one-dimensional normal distribution to higher dimensions
data. Multivariate normality tests include the Cox–Small test and Smith and Jain's adaptation of the Friedman–Rafsky test created by Larry Rafsky and Jerome
Multivariate normal distribution
Multivariate_normal_distribution
television) on BBC2. Test Card G was a television test card broadcast occasionally by the BBC. It was a variant of the famous Philips PM5544 test card and was
List_of_BBC_test_cards
Statistical measure to determine how suited data is for factor analysis
The Kaiser–Meyer–Olkin (KMO) test is a statistical measure to determine how suited data is for factor analysis. The test measures sampling adequacy for
Kaiser–Meyer–Olkin_test
Measure of statistical dispersion
67 and not be normally distributed (so the above test would produce a false positive). A better test of normality, such as Q–Q plot would be indicated
Interquartile_range
Table that displays the frequency of variables
variety of statistical tests including Pearson's chi-squared test, the G-test, Fisher's exact test, Boschloo's test, and Barnard's test, provided the entries
Contingency_table
Theory and technique of psychological measurement
Applications. Boston: Kluwer-Nijhoff. Rasch, G. (1960/1980). Probabilistic models for some intelligence and attainment tests. Copenhagen, Danish Institute for Educational
Psychometrics
How many standard deviations apart from the mean an observed datum is
quantity. The z-score is often used in the z-test in standardized testing – the analog of the Student's t-test for a population whose parameters are known
Standard_score
Ways of computing statistical significance
In statistical significance testing, a one-tailed test and a two-tailed test are alternative ways of computing the statistical significance of a parameter
One-_and_two-tailed_tests
Statistical hypothesis test for the presence of serial correlation
in econometric models. The test is named after Trevor S. Breusch and Leslie G. Godfrey. The Breusch–Godfrey test is a test for autocorrelation in the
Breusch–Godfrey_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
Measure of women's representation in fiction
Bechdel test (/ˈbɛkdəl/ BEK-dəl), also known as the Bechdel–Wallace test, is a measure of the representation of women in film and other fiction. The test asks
Bechdel_test
Statistical test for normality of data
Lilliefors test is a normality test based on the Kolmogorov–Smirnov test. It is used to test the null hypothesis that data come from a normally distributed
Lilliefors_test
Measure of linear correlation
below. Permutation tests provide a direct approach to performing hypothesis tests and constructing confidence intervals. A permutation test for Pearson's correlation
Pearson correlation coefficient
Pearson_correlation_coefficient
Psychometric factor also known as "general intelligence"
needed] The g factor typically accounts for 40 to 50 percent of the between-individual performance differences on a given cognitive test, and composite
G_factor_(psychometrics)
Type of medical test
An interferon-γ release assay (IGRA) is a medical test used in the diagnosis of some infectious diseases, especially tuberculosis. Interferon-γ (IFN-γ)
Interferon gamma release assay
Interferon_gamma_release_assay
Diagnostic plot in multivariate statistics
significant factors or components using a scree plot is also known as a scree test. Raymond B. Cattell introduced the scree plot in 1966. A scree plot always
Scree_plot
Statistical test used to test homoscedasticity
In statistics, Bartlett's test, named after Maurice Stevenson Bartlett, is used to test homoscedasticity (or "homogeneity of variance"), that is, if multiple
Bartlett's_test
Statistical test with teststatistic the number of signs of one type
The sign test is a statistical test for consistent differences between pairs of observations, such as the weight of subjects before and after treatment
Sign_test
Diagnostic plot of binary classifier ability
healthy people are normally distributed with means of 2 g/dL and 1 g/dL respectively. A medical test might measure the level of a certain protein in a blood
Receiver operating characteristic
Receiver_operating_characteristic
Statistical property of collections of time series data
Representation, estimation and testing" (PDF). Econometrica. 55 (2): 251–276. doi:10.2307/1913236. JSTOR 1913236. MacKinnon, James G. (2010). "Critical values
Cointegration
Test of statistical significance
as the basis for alternative tests that are much quicker to compute, such as Pearson's chi-squared test and the G-test. However, for small samples these
Binomial_test
Function of the observed sample results
In null-hypothesis significance testing, the p-value is the probability of obtaining test results at least as extreme as the result actually observed
P-value
Statistical property
case. Tests in regression Goldfeld–Quandt test Park test Glejser test Harrison–McCabe test Breusch–Pagan test White test Cook–Weisberg test Tests for grouped
Homoscedasticity and heteroscedasticity
Homoscedasticity_and_heteroscedasticity
Collection of statistical models
variance, e.g.: Welch's heteroscedastic F test, Welch's heteroscedastic F test with trimmed means and Winsorized variances, Brown-Forsythe test, Alexander-Govern
Analysis_of_variance
Term in statistical hypothesis testing
using 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
Power_(statistics)
Position that there is no relationship between two phenomena
(e.g., that a potential treatment has a non-zero effect, either way). Testing the null hypothesis is a central task in statistical hypothesis testing in
Null_hypothesis
Set of statistical processes for estimating the relationships among variables
residuals and hypothesis testing. Statistical significance can be checked by an F-test of the overall fit, followed by t-tests of individual parameters
Regression_analysis
Range to estimate an unknown parameter
B.; Poole, Charles; Goodman, Steven N.; Altman, Douglas G. (April 2016). "Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations"
Confidence_interval
Test used in the analysis of stratified or matched categorical data
Unlike the McNemar test, which can only handle pairs, the CMH test handles arbitrary strata sizes. It is named after William G. Cochran, Nathan Mantel
Cochran–Mantel–Haenszel statistics
Cochran–Mantel–Haenszel_statistics
Score from a test designed to assess intelligence
g for "general factor" and labelled the specific factors or abilities for specific tasks s. In any collection of test items that make up an IQ test,
Intelligence_quotient
Time series statistical test
the Johansen test, named after Søren Johansen, is a procedure for testing cointegration of several, say k, I(1) time series. This test permits more than
Johansen_test
Normality test
Jarque–Bera test is a goodness-of-fit test of whether sample data have the skewness and kurtosis matching a normal distribution. The test is named after
Jarque–Bera_test
Checking software against a standard
Software testing is the act of checking whether software meets its intended objectives and satisfies expectations. Software testing can provide objective
Software_testing
Measure of the asymmetry of random variables
York, pp. 411–422. Szekely, G. J. and Mori, T. F. (2001) "A characteristic measure of asymmetry and its application for testing diagonal symmetry", Communications
Skewness
Study of collection and analysis of data
done using statistical tests that quantify the sense in which the null can be proven false, given the data that are used in the test. Working from a null
Statistics
Probability distribution
distribution allows for; see e.g. Lange et al. The classical approach was to identify outliers (e.g., using Grubbs's test) and exclude or downweight them
Student's_t-distribution
Time series statistical test
In statistics, the Dickey–Fuller test tests the null hypothesis that a unit root is present in an autoregressive (AR) time series model. The alternative
Dickey–Fuller_test
Series of Sport Utility Vehicles (SUVs)
"Mercedes-Benz G-class review: we test the year's hardest, gnarliest 4x4". CAR Magazine. Archived from the original on 24 August 2018. "The new Mercedes-Benz G-Class"
Mercedes-Benz_G-Class
English language test for foreigners
General Tests of English Language Proficiency (G-TELP) are English language tests developed by the International Testing Services Center (ITSC) in 1985
General Tests of English Language Proficiency
General_Tests_of_English_Language_Proficiency
Non-verbal test
designed to measure the test taker's reasoning ability, the eductive ("meaning-making") component of Charles Spearman's g (g is often referred to as general
Raven's_Progressive_Matrices
Relative measure of dispersion expressed as the ratio of standard deviation to the mean
1996.10473537. JSTOR 2685039.. Feltz, Carol J; Miller, G. Edward (1996). "An asymptotic test for the equality of coefficients of variation from k populations"
Coefficient_of_variation
Method of statistical inference
with the discrete set of events { G D , G D ¯ , G ¯ D , G ¯ D ¯ } {\displaystyle \{GD,G{\bar {D}},{\bar {G}}D,{\bar {G}}{\bar {D}}\}} as evidence. The information
Bayesian_inference
Scientific procedure performed to validate a hypothesis
informal natural comparisons (e.g. tasting a range of chocolates to find a favorite), to highly controlled (e.g. tests requiring complex apparatus overseen
Experiment
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
Graphical representation of the distribution of numerical data
( 1 + | g 1 | σ g 1 ) {\displaystyle k=1+\log _{2}(n)+\log _{2}\left(1+{\frac {|g_{1}|}{\sigma _{g_{1}}}}\right)} where g 1 {\displaystyle g_{1}} is the
Histogram
Projective psychological test created in 1921
The Rorschach test is a projective psychological test in which subjects' perceptions of inkblots are recorded and then analyzed using psychological interpretation
Rorschach_test
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
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
Statistical hypothesis test for forecasting
The Granger causality test is a statistical hypothesis test for determining whether one time series is useful in forecasting another, first proposed in
Granger_causality
General linear model that blends ANOVA and regression
the test used to evaluate differences between groups, the F-test. The F-test is computed by dividing the explained variance between groups (e.g., medical
Analysis_of_covariance
Probabilistic problem-solving algorithm
characteristics (e.g. a long "period" before the sequence repeats) the (pseudo-random) number generator produces values that pass tests for randomness there
Monte_Carlo_method
Statistical measure of how far values spread from their average
parametric tests have been proposed: these include the Barton–David–Ansari–Freund–Siegel–Tukey test, the Capon test, Mood test, the Klotz test and the Sukhatme
Variance
Hypothesis test to compare the survival distributions of two samples
The logrank test, or log-rank test, is a hypothesis test to compare the survival distributions of two samples. It is a nonparametric test and appropriate
Logrank_test
Branch of statistics
normal variables; useful e.g. for inference regarding the sample variance of normally distributed samples (see chi-squared test) Student's t distribution
Mathematical_statistics
Criterion for model selection
unlike the case when models are being compared using an F-test or a likelihood ratio test.[citation needed] To compare two different models, simply compute
Bayesian information criterion
Bayesian_information_criterion
Estimator for quality of a statistical model
example of a hypothesis test, consider the t-test to compare the means of two normally-distributed populations. The input to the t-test comprises a random
Akaike_information_criterion
Animal self-awareness test
In this test, an animal is anesthetized and then marked (e.g. paint or sticker) on an area of the body the animal normally cannot see (e.g. forehead)
Mirror_test
Family of statistical methods based on sampling of available data
Permutation tests (also re-randomization tests) for generating counterfactual samples Bootstrapping Cross validation Jackknife Permutation tests rely on resampling
Resampling_(statistics)
Branch of statistics
functions g 1 , … , g p {\displaystyle g_{1},\dots ,g_{p}} of the moments of the distribution, then the moment estimates of the parameters are g 1 ( ∑ i
Parametric_statistics
Econometric term
regression models, the Chow test is often used to test for a single break in mean at a known time period K for K ∈ [1,T]. This test assesses whether the coefficients
Structural_break
Dividing things between two categories
number of classes. Typical binary classification problems include: Medical testing to determine if a patient has a certain disease or not; Quality control
Binary_classification
Statistical method for handling multiple comparisons
relatively small sample sizes (e.g. few individuals being tested) and large numbers of variables being measured per sample (e.g. thousands of gene expression
False_discovery_rate
Use of purpose-built software to control test execution
predicted. Test automation supports testing the system under test (SUT) without manual interaction which can lead to faster test execution and testing more
Test_automation
Series of questions for gathering information
9: 143–5. Mellenbergh, G. J. (2008). Chapter 10: Tests and questionnaires: Construction and administration. In H. J. Adèr & G. J. Mellenbergh (Eds.) (with
Questionnaire
Statistic for rank correlation
ordinal association between two measured quantities. A τ test is a non-parametric hypothesis test for statistical dependence based on the τ coefficient.
Kendall rank correlation coefficient
Kendall_rank_correlation_coefficient
Concepts from statistical hypothesis testing
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
Type_I_and_type_II_errors
Phase of clinical research in medicine
what type(s) of patients might benefit. If the sponsor cannot obtain enough test subjects at one location investigators at other locations are recruited to
Clinical_trial
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
Covariance and correlation
( g , T 1 ( g ) ) , … , k ( g , T N − 1 ( g ) ) ] {\displaystyle K_{g}=[k(g,T_{0}(g)),k(g,T_{1}(g)),\dots ,k(g,T_{N-1}(g))]} is a vector of kernel functions
Cross-correlation
Presumptive serological test for enteric fever or undulant fever
The Widal test, developed in 1896 and named after its inventor, Georges-Fernand Widal, is an indirect agglutination test for enteric fever or undulant
Widal_test
Statistical method
from distribution G with mean y ¯ {\displaystyle {\bar {y}}} and variance σ y 2 {\displaystyle \sigma _{y}^{2}} Calculate the test statistic t = x ¯ −
Bootstrapping_(statistics)
Variable capable of taking on a limited number of possible values
common post hoc test used in regression which is similar to the simple effects analysis in ANOVA, used to analyze interactions. In this test, we are examining
Categorical_variable
Diagnostic test or benchmark
is the diagnostic test or benchmark that is the best available under reasonable conditions. It is the test against which new tests are compared to gauge
Gold_standard_(test)
U.S. Air Force facility in southern Nevada
highly classified United States Air Force (USAF) facility within the Nevada Test and Training Range in southern Nevada, 83 miles (134 km) north-northwest
Area_51
Statistical method
intervention is the homogeneity of performance to the assignment of treatment (e.g., a scholarship award). Since high-performing students are more likely to
Regression discontinuity design
Regression_discontinuity_design
G TEST
G TEST
Surname or Lastname
English
English : nickname for an honorable man, from Middle English upri(g)ht ‘erect’.
Female
Hungarian
Hungarian name VIRÃG means "flower."
Surname or Lastname
English
English : from a Middle English personal name, Salewi, probably from an unattested Old English personal name, Sǣlwīg, composed of the elements sǣl ‘good fortune’ + wīg ‘war’.
Surname or Lastname
English (Devon)
English (Devon) : from the Middle English personal name Edwy, Old English Ēadwīg, composed of the elements ēad ‘prosperity’, ‘fortune’ + wīg ‘war’.
Surname or Lastname
English
English : variant of William, from a central French form in which W is replaced by G.
Surname or Lastname
English
English : unexplained.Dutch (Minsen) patronymic from the Germanic personal name Me(g)inzo.
Surname or Lastname
English
English : unexplained. Perhaps from the Old English personal name Sǣlwīg (see Selway).
Female
Danish
, divine liquor.
Male
Norse
Old Norse name RÃG means "king." In mythology, this is the name of the god who brought into being the progenitors of the three classes of human beings.
Female
Swedish
Swedish form of Old Norse Ãslaug, Ã…SLÖG means "God-betrothed woman."
Surname or Lastname
English
English : variant of Alaway, from the Old English personal name Æðelwīg, composed of the elements æðel ‘noble’ + wīg ‘war’.
Boy/Male
Czechoslovakian
Loves g)ory.
Surname or Lastname
English
English : from a late Old English personal name, Ordwīg, composed of the elements ord ‘point (especially of a spear or sword)’ + wīg ‘war’.
Surname or Lastname
Irish
Irish : reduced form of Dunleavy.English : from the Middle English personal name Lefwi, Old English Lēofwīg, composed of the elements lēof ‘dear’, ‘beloved’ + wīg ‘war’.
Surname or Lastname
English
English : variant of William, from a central French form in which W is replaced by G.
Surname or Lastname
English (Cumbria and Lancashire)
English (Cumbria and Lancashire) : habitational name from Hay Hurst in the parish of Ribchester, Lancashire, so called from Old English hæg ‘enclosure’ (see Hay 1) or hēg ‘hay’ + hyrst ‘wooded hill’.
Boy/Male
Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi, Oriya, Telugu
G Home; Banner; Flag; Pure Gold; Mark; Sign; Dwelling; Almighty
Surname or Lastname
English
English : from the Middle English personal name Alfwy, Old English Ælfwīg ‘elf battle’.
Boy/Male
Hindu, Indian
K for Krishna, S for Shiv and G for Ganesh
Surname or Lastname
English
English : variant of William, from a central French form in which W is replaced by G.
G TEST
G TEST
Male
Irish
Irish Gaelic legend name, thought by some to have been derived from Latin Bartholomaeus, PARTHALÃN means "son of Talmai." As the legend goes, this name belonged to an early invader of Ireland who was the first to arrive on those shores after the biblical flood.
Boy/Male
Bengali, Hindu, Indian
Precious Diamond; Fearless; Living in Water; Strength of a Diamond
Boy/Male
Hindu
Surname or Lastname
English
English : from Old English Tæpping, an unattested patronymic from Tæppa. Compare Tapp.Joseph Tapping (d. 1678) is buried in King’s Chapel Burying Ground, Boston, MA.
Girl/Female
German, Latin
Faithful; Steadfastness
Girl/Female
Muslim
Gazelle
Boy/Male
Tamil
Honest
Boy/Male
American, Australian, British, English, Hebrew, Scottish
Surname; Variant of David; Beloved; Dear One; David's Son
Male
Iranian/Persian
Original form of Persian Sinbad, legend name of a sailor who had numerous fantastic adventures, possibly derived from Sanskrit Siddhapati, SINDBAD means "lord of sages."Â
Boy/Male
Danish, Finnish, German, Norse, Norwegian, Scandinavian, Swedish
Battle Leader; Lone Warrior; Warrior Chief
G TEST
G TEST
G TEST
G TEST
G TEST
n.
That method of spelling in which the same letters represent different sounds in different words, as in the ordinary English orthography; e. g., g in get and in ginger.
n.
The dropping of a letter or syllable from the beginning of a word; e. g., cute for acute.
n.
A subtonic sound or element; a vocal consonant, as b, d, g, n, etc.; a subvocal.
n.
A genus of papilionaceous herbaceous plants, one species of which (G. glabra), is the licorice plant, the roots of which have a bittersweet mucilaginous taste.
n.
A figure in which an epithet of a contrary signification is added to a word; e. g., cruel kindness; laborious idleness.
superl.
Applied to a palatal, a sibilant, or a dental consonant (as g in gem, c in cent, etc.) as distinguished from a guttural mute (as g in go, c in cone, etc.); -- opposed to hard.
n.
Any one of several species of American ground warblers of the genus Geothlypis, esp. the Maryland yellowthroat (G. trichas), which is a very common species.
n.
A toothed delphinoid cetacean, of the genus Grampus, esp. G. griseus of Europe and America, which is valued for its oil. It grows to be fifteen to twenty feet long; its color is gray with white streaks. Called also cowfish. The California grampus is G. Stearnsii.
n.
The third letter (/, / = Eng. G) of the Greek alphabet.
n.
A plant of the genus Genista (G. tinctoria); dyer's weed; -- called also greenweed.
n.
A genus of plants which yield the cotton of the arts. The species are much confused. G. herbaceum is the name given to the common cotton plant, while the long-stapled sea-island cotton is produced by G. Barbadense, a shrubby variety. There are several other kinds besides these.
n.
One who explains the higher functions and relations of the soul by the association of ideas; e. g., Hartley, J. C. Mill.
n.
A syllable applied in solmization to the note G, or to the fifth tone of any diatonic scale.
n.
A plant of the genus Glycyrrhiza (G. glabra), the root of which abounds with a sweet juice, and is much used in demulcent compositions.
n.
The fifth tone of the scale; thus G is the dominant of C, A of D, and so on.
n.
A church road (e. g., a path across fields) for funerals.