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Variable capable of taking on a limited number of possible values
In statistics, a categorical variable (also called qualitative variable) is a variable that can take on one of a limited, and usually fixed, number of
Categorical_variable
Discrete probability distribution
The categorical distribution is the generalization of the Bernoulli distribution for a categorical random variable, i.e. for a discrete variable with
Categorical_distribution
Numeric stand-ins in regression analysis
of some categorical effect that may be expected to shift the outcome. In machine learning this is known as one-hot encoding. Dummy variables are commonly
Dummy_variable_(statistics)
Statistics concept
modifier). The effect of a moderating variable is characterized statistically as an interaction; that is, a categorical (e.g., sex, ethnicity, class) or continuous
Moderation_(statistics)
System for displaying information by using different colors
to be categorical (representing unordered/qualitative categories) though may also be sequential (representing an ordered/quantitative variable). The earliest
Color_code
Distributions in probability theory
categorical variables dependent on multiple priors sharing a hyperprior; we have categorical variables with dependent children (the latent variable topic
Dirichlet-multinomial distribution
Dirichlet-multinomial_distribution
General linear model that blends ANOVA and regression
dependent variable (DV) are equal across levels of one or more categorical independent variables (IV) and across one or more continuous variables. For example
Analysis_of_covariance
Statistical model for a binary dependent variable
for binary regression since about 1970. Binary variables can be generalized to categorical variables when there are more than two possible values (e
Logistic_regression
Data whose unit can take on only two possible states
simply ignored. Modeling continuous data (or categorical data of more than 2 categories) as a binary variable for analysis purposes is called dichotomization
Binary_data
Technique used in statistics
in statistics to examine the relationship between more than two categorical variables. The technique is used for both hypothesis testing and model building
Log-linear_analysis
Bit-vector representation where only one bit can be set at a time
sometimes called one-cold. In statistics, dummy variables represent a similar technique for representing categorical data. One-hot encoding is often used for
One-hot
Monte Carlo algorithm
dynamically depending on some other variable (e.g. a categorical variable indexed by another latent categorical variable, as in a topic model), the same expected
Gibbs_sampling
Statistical model relating manifest and latent variables
A latent variable model is a statistical model that relates a set of observable variables (also called manifest variables or indicators) to a set of latent
Latent_variable_model
Visual representation of data
Categorical: Represent groups of objects with a particular characteristic. Categorical variables can either be nominal or ordinal. Nominal variables for
Data and information visualization
Data_and_information_visualization
Measure for evaluating probabilistic forecasts
rules. The ones shown below are simply popular examples. For a categorical response variable with m {\displaystyle m} mutually exclusive events, Y ∈ Ω =
Scoring_rule
Type of exploratory graph used in statistics
represent the levels of a categorical variable. A generalised biplot displays information on both continuous and categorical variables. The biplot was introduced
Biplot
Statistical measure of the magnitude of a phenomenon
size value. Examples of effect sizes include the correlation between two variables, the regression coefficient in a regression, the mean difference, and
Effect_size
Named set of data type values
language, a status variable in the JOVIAL programming language, an ordinal in the PL/I programming language, and a categorical variable in statistics) is
Enumerated_type
Causal or moderating relationship between statistical variables
baseline, or untreated value of y. Sometimes the interacting variables are categorical variables rather than real numbers and the study might then be dealt
Interaction_(statistics)
Method used in statistics, pattern recognition, and other fields
continuous dependent variable, whereas discriminant analysis has continuous independent variables and a categorical dependent variable (i.e. the class label)
Linear_discriminant_analysis
Topics referred to by the same term
variable, a variable in statistics whose value depends on random events Categorical variable, taking one of a finite number of values in a statistical problem
Variable
Statistical hypothesis test
simpler terms, this test is primarily used to examine whether two categorical variables (two dimensions of the contingency table) are independent in influencing
Chi-squared_test
Types of numerical variables in mathematics
a quantitative variable may be continuous or discrete. If it can take on two real values and all the values between them, the variable is continuous in
Continuous or discrete variable
Continuous_or_discrete_variable
Plot using the dispersal of scattered dots to show the relationship between variables
of categorical and quantitative variables. A mosaic plot, fluctuation diagram, or faceted bar chart may be used to display two categorical variables. Other
Scatter_plot
Probability distribution
out the Dirichlet random variable. This causes the various categorical variables drawn from the same Dirichlet random variable to become correlated, and
Dirichlet_distribution
Statistic measuring inter-rater agreement for categorical items
statistic used to measure inter-rater reliability for qualitative or categorical data. It is generally thought to be a more robust measure than simple
Cohen's_kappa
Data analysis technique
cross-tabulations between the categorical variables, and has an analogy to the covariance matrix of continuous variables. Analyzing the Burt table is a
Multiple correspondence analysis
Multiple_correspondence_analysis
Choice of colors used in design
represent categorical variables, where the possible values of the variable are discrete and unordered. An example of a categorical variable is U.S. states
Color_scheme
Concept in statistics
category is a categorical variable. Categorical variables have two types of scales, ordinal and nominal. The first type of categorical scale is dependent
Nominal_category
Structure that categorizes facts and measures in a data warehouse
grouping by product. A dimensional data element is similar to a categorical variable in statistics. Typically dimensions in a data warehouse are organized
Dimension_(data_warehouse)
Study of collection and analysis of data
science, in that dichotomous categorical variables may be represented with the Boolean data type, polytomous categorical variables with arbitrarily assigned
Statistics
analysis of categorical data, also known as data on the nominal scale and as categorical variables. Bowker's test of symmetry Categorical distribution
List of analyses of categorical data
List_of_analyses_of_categorical_data
Topics referred to by the same term
ratio of two like quantities Level, the different values that a categorical variable can have Level, the different values that a factor can have in factor
Level
Method of representing variables in Bayesian inference
column size. Categorical variables are indicated by placing their size (without a bracket) in the middle of the node. Categorical variables that act as
Plate_notation
Properties not expressed numerically
A variable which codes for the presence or absence of such a property is called a binary categorical variable, or equivalently a dummy variable. Some
Qualitative_property
Data visualization
displayed variables are categorical or ordinal scales. The plot is of at least two variables. There is no upper limit, but too many variables may be confusing
Mosaic_plot
Type of statistical model
effects in a model are allowed to vary, and when testing a dummy-coded categorical variable as a single effect. However, the test can only be used when models
Multilevel_model
Mathematical function for the probability a given outcome occurs in an experiment
number of outcomes in a sample (i.e. sample size). Categorical distribution: for discrete random variables with a finite set of values. Absolutely continuous
Probability_distribution
Taxonomy of statistical data elements
science, in that dichotomous categorical variables may be represented with the Boolean data type, polytomous categorical variables with arbitrarily assigned
Statistical_data_type
Set of statistical processes for estimating the relationships among variables
variables and some independent variables. For categorical variables with more than two values there is the multinomial logit. For ordinal variables with
Regression_analysis
Statistical measure
reliability of agreement between a fixed number of raters when assigning categorical ratings to a number of items. This contrasts with other kappas such as
Fleiss's_kappa
Symbol representing a mathematical object
that the variable represents or denotes the object, and that any valid candidate for the object is the value of the variable. The values a variable can take
Variable_(mathematics)
Numerical measure of a statistical relationship between variables
variables. The two continuous variables followed a bivariate normal distribution. When both variables are dichotomous instead of ordered-categorical,
Correlation_coefficient
Personality trait of highly sensitive persons
patterns in adults were thought to be distributed as a dichotomous categorical variable with a break point between 10% and 35%, with Aron choosing a cut-off
Sensory processing sensitivity
Sensory_processing_sensitivity
Variable representing a random phenomenon
A random variable (also called random quantity, aleatory variable, or stochastic variable) is a mathematical formalization of a quantity or object which
Random_variable
Statistical method
are small. It is specifically designed for testing whether two categorical variables are related or independent of each other. The correction modifies
Yates's correction for continuity
Yates's_correction_for_continuity
Statistical data type
Ordinal data is a categorical, statistical data type where the variables have natural, ordered categories and the distances between the categories are
Ordinal_data
Concept in statistical analysis
the dependent variable—the one whose value is determined to some extent by the other, independent variable— is a categorical variable, such as the preferred
Bivariate_analysis
Type of chart
A bar chart or bar graph is a chart or graph that presents categorical data with rectangular bars with heights or lengths proportional to the values that
Bar_chart
Topics referred to by the same term
word in combinatorics or of a word in group theory. An independent categorical variable. In experimental design, the factor is a category of treatments controlled
Factor
Data analysis technique
of values of its independent and dependent variables. For instance, if there were four categorical variables of interest, {A,B,C,D}, and A and B were dichotomous
Qualitative comparative analysis
Qualitative_comparative_analysis
Graphical technique for data sets
trajectories. In the case of categorical variables, category level points may be used to represent the levels of a categorical variable. A generalised biplot
Plot_(graphics)
of a categorical explanatory variable within a statistical model. In standard statistical models the effects of a categorical explanatory variable are
Quasi-variance
Mathematical methods used in Bayesian inference and machine learning
statistical models consisting of observed variables (usually termed "data") as well as unknown parameters and latent variables, with various sorts of relationships
Variational_Bayesian_methods
Probability theory and statistics concept
parameter. When both X {\displaystyle X} and Y {\displaystyle Y} are categorical variables, a conditional probability table is typically used to represent
Conditional probability distribution
Conditional_probability_distribution
Type of bar chart using dots
to depict the quantitative values (e.g. counts) associated with categorical variables. The dot plot as a representation of a distribution consists of
Dot_plot_(statistics)
Machine learning algorithm
both numerical and categorical data. Other techniques are usually specialized in analyzing datasets that have only one type of variable. (For example, relation
Decision_tree_learning
Statistical model
arbitrary dependencies among the disturbances, and both continuous and categorical variables. In linear analysis, all effects are determined by sums of products
Mediation_(statistics)
continuous variable, or "the number of cars in the school car park" for a discrete variable, or "the colour of the next bicycle" for a categorical variable. They
Notation in probability and statistics
Notation_in_probability_and_statistics
Perception of distinct categories in a variable along a continuum
Categorical perception is a phenomenon of perception of distinct categories when there is gradual change in a variable along a continuum. It was originally
Categorical_perception
Measure of inter-rater agreement
at the Wayback Machine, R package: Visualizing Categorical Data Friendly, M. "Working with categorical data with R and the vcd and vcdExtra packages"
Bangdiwala's_B
Statistical concept
latent variables specifying the identity of the mixture component of each observation, each distributed according to a K-dimensional categorical distribution
Mixture_model
multivariate visualization that displays numerical and categorical variables along parallel axes. Each variable occupies a vertical axis whose sections represent
Hammock_plot
Statistical method
obviously when a categorical variable is coded as a collection of binary covariates. In this case, group lasso can ensure that all the variables encoding the
Lasso_(statistics)
Statistical modeling method
log-normal data, instead the response variable is simply transformed using the logarithm function); when modeling categorical data, such as the choice of a given
Linear_regression
Tree-based ensemble machine learning methods
accuracy of the base learner. Likewise in problems with multiple categorical variables. Boosting – Ensemble learning method Decision tree learning – Machine
Random_forest
Distinction between nominal, ordinal, interval and ratio variables
1007/bf00485356. S2CID 46970420. "What is the difference between categorical, ordinal and interval variables?". Institute for Digital Research and Education. University
Level_of_measurement
Sexual preference for pubescent children
supported victim age preferences being a continuous rather than categorical variable. In separate letters to the editor, forensic psychologist Gregory
Hebephilia
Machine learning method
Logic Learning Machine for classification, when the output is a categorical variable, which can assume values in a finite set Logic Learning Machine for
Logic_learning_machine
Method of data analysis
analysis for categorical data. Principal component analysis creates variables that are linear combinations of the original variables. The new variables have the
Principal_component_analysis
Statistical tool used in meta-analyses
accounting for covariate effects, especially in the presence of categorical variables that can be used for subgroup analysis. Meta-regression covers a
Meta-regression
Set of probability measures
{\displaystyle \max } in the above expression). If X {\displaystyle X} is a categorical variable, then the credal set K ( X ) {\displaystyle K(X)} can be considered
Credal_set
Series of questions for gathering information
The nominal scale, also called the categorical variable scale, is defined as a scale used for labeling variables into distinct classifications and does
Questionnaire
Evaluates how likely it is that any difference between data sets arose by chance
the distribution of counts for two or more groups using the same categorical variable (e.g. choice of activity—college, military, employment, travel—of
Pearson's_chi-squared_test
Formal fallacy in statistical interpretation
dummy variable and the omitted variable Z {\displaystyle Z} is a categorical variable defining groups for each value it takes. The bias can be high enough
Ecological_fallacy
Type of experimental design
model parameters to be estimated. Sort by a-1 columns assigned to categorical variable A and following columns, where A = 1 + int(a·i /(max(i) + 0.00001))
Plackett–Burman_design
Table that displays the frequency of variables
The relation between ordinal variables, or between ordinal and categorical variables, may also be represented in contingency tables, although such a
Contingency_table
Statistical property quantifying how much a collection of data is spread out
can be used to counteract linear frequency drift sensitivity. For categorical variables, it is less common to measure dispersion by a single number; see
Statistical_dispersion
Regression for more than two discrete outcomes
outcomes of a categorically distributed dependent variable, given a set of independent variables (which may be real-valued, binary-valued, categorical-valued
Multinomial logistic regression
Multinomial_logistic_regression
Number of occurrences in an experiment or study
categories are usually specified as consecutive, non-overlapping intervals of a variable. The categories (intervals) must be adjacent, and often are chosen to be
Frequency_(statistics)
Multivariate ANOVA Degrees of freedom Categorical / multivariate / time-series / survival analysis Categorical Cohen's kappa Contingency table Graphical
Andres_and_Marzo's_delta
Area of mathematical logic
isomorphism type. A theory that is both ω-categorical and uncountably categorical is called totally categorical. A key factor in the structure of the class
Model_theory
test the distributional differences between cases and controls for categorical variable set, which can be a single SNP, SNP-SNP, or SNP-environment pairs
W-test
Statistical Markov model
nature of the observed variable. For example, if the observed variable is discrete with M possible values, governed by a categorical distribution, there
Hidden_Markov_model
Non-parametric regression technique
continuous and categorical data. MARS (like recursive partitioning) does automatic variable selection (meaning it includes important variables in the model
Multivariate adaptive regression spline
Multivariate_adaptive_regression_spline
Probability distribution modeling a coin toss which need not be fair
\mathrm {Bernoulli} (p).} The categorical distribution is the generalization of the Bernoulli distribution for variables with any constant number of discrete
Bernoulli_distribution
All procedures for the numerical representation of empirical facts
for variables between which covariance is found in some degree. Associations may be examined between any combination of continuous and categorical variables
Quantitative_research
Type of logical argument that applies deductive reasoning
representing categorical statements (and statements that are not provided for in syllogism as well) by the use of quantifiers and variables. A noteworthy
Syllogism
Statistical estimation method
outcomes: 4.1 The statistical model". Regression Models for Categorical Dependent Variables Using Stata, Second Edition. Stata Press. pp. 131–136. ISBN 978-1-59718011-5
Binary_regression
Mathematical logic theory with exactly one countably infinite model up to isomorphism
{\displaystyle \aleph _{0}} = ω of κ-categoricity, and omega-categorical theories are also referred to as ω-categorical. The notion is most important for
Omega-categorical_theory
Catastro of Ensenada – a census of part of Spain Categorical data Categorical distribution Categorical variable Cauchy distribution Cauchy–Schwarz inequality
List_of_statistics_articles
Form of causal modeling that fit networks of constructs to data
to report and respect evidence. Categorical dependent variables [citation needed] Categorical intervening variables [citation needed] Copulas [citation
Structural_equation_modeling
people). Specific variables regarding a population (e.g., age and income) may be specified and obtained. Data may be numerical or categorical (i.e., a text
Data_analysis
Portable device to make telephone calls using a radio link
The dataset contains information on 22 dichotomous, continuous or categorical variables including, for example, activities regulated (e.g., texting versus
Mobile_phone
Type of theory in mathematical logic
In mathematical logic, a theory is categorical if it has exactly one model (up to isomorphism). Such a theory can be viewed as defining its model, uniquely
Categorical_theory
Concept in statistics
assess whether the factor variables (categorical variables) are additively related to the expected value of the response variable. It can be applied when
Tukey's_test_of_additivity
Statistical value representing the center or average of a distribution
applies equally in one dimension, multiple dimensions, or even for categorical variables. The median is only defined in one dimension; the geometric median
Central_tendency
Variable that stores data about other variables or program structure
In logic, a metavariable (also metalinguistic variable or syntactical variable) is a symbol or symbol string which belongs to a metalanguage and stands
Metavariable
of a multinomial distribution equal specified values; it is used for categorical data. Beginning with a sample of N {\displaystyle ~N~} items each
Multinomial_test
Form of longitudinal study
occurrence of a disease, births, a political attitude or any other categorical variable are collected after the events have taken place, and the subjects
Cohort_study
CATEGORICAL VARIABLE
CATEGORICAL VARIABLE
Boy/Male
Anglo, British, English
Variable
Boy/Male
Arabic, Muslim, Sindhi
Endowed with Speech; Eloquent; Spokesperson; Talker; Speaker; Rational; Categorical (Decision)
Boy/Male
Anglo, Australian, British, English, French, Swedish
Variable; Brave with the Spear; Spear Rule
Boy/Male
Muslim/Islamic
Categorical (decision) talker, speaker, rational
Surname or Lastname
English
English : topographic name for someone living on (and farming) a hide of land, Old English hī(gi)d. This was a variable measure of land, differing from place to place and time to time, and seems from the etymology to have been originally fixed as the amount necessary to support one (extended) family (Old English hīgan, hīwan ‘household’). In some cases the surname is habitational, from any of the many minor places named with this word, as for example Hyde in Greater Manchester, Bedfordshire, and Hampshire.English : variant of Ide, with inorganic initial H-. Compare Herrick.Jewish (American) : Americanized spelling of Haid.
Surname or Lastname
English
English : from a medieval male personal name (from Latin Hilarius, a derivative of hilaris ‘cheerful’, ‘glad’, from Greek hilaros ‘propitious’, ‘joyful’). The Latin name was chosen by many early Christians to express their joy and hope of salvation, and was borne by several saints, including a 4th-century bishop of Poitiers noted for his vigorous resistance to the Arian heresy, and a 5th-century bishop of Arles. Largely due to veneration of the first of these, the name became popular in France in the forms Hilari and Hilaire, and was brought to England by the Norman conquerors.English : from the much rarer female personal name Eulalie (from Latin Eulalia, from Greek eulalos ‘eloquent’, literally well-speaking, chosen by early Christians as a reference to the gift of tongues), likewise introduced into England by the Normans. A St. Eulalia was crucified at Barcelona in the reign of the Emperor Diocletian and became the patron of that city. In England the name underwent dissimilation of the sequence -l-l- to -l-r- and the unfamiliar initial vowel was also mutilated, so that eventually the name was considered as no more than a feminine form of Hilary (of which the initial aspirate was in any case variable).
Girl/Female
Biblical
According to variable songs or tunes.
Biblical
according to variable songs or tunes,
Surname or Lastname
English (of Norman origin)
English (of Norman origin) : habitational name from Saint-Hilaire-du-Harcouët in La Manche, which gets its name from the dedication of its church to St. Hilary, or alternatively from either of the places, in La Manche and Somme, called Saint-Lô. Both of the latter are named from a 6th-century St. Lauto, bishop of Coutances; his name is of variable form in the sources and uncertain etymology.North German : habitational name for someone from Sandel.Jewish (eastern Ashkenazic) : occupational name for a cobbler or shoemaker, Yiddish sandler (from Hebrew sandelar, from Late Latin sandalarius, an agent derivative of sandalium ‘shoe’).
CATEGORICAL VARIABLE
CATEGORICAL VARIABLE
Girl/Female
Muslim
Elevated, Lofty, Incomparable
Female
English
Variant spelling of English Madge, MIDGE means "pearl."
Girl/Female
Australian, Slavic
God is Good
Boy/Male
Tamil
Dattatreya | ததà¯à®¤à®¾à®¤à¯à®°à¯‡à®¯à®¾
God in Hindu religion, A God (A son of Atri)
Surname or Lastname
English
English : habitational name from Cantrell in Devon, recorded as Canterhulle in 1330, from an unexplained first element + Old English hyll ‘hill’.English : from Old French chanterelle ‘small bell’, ‘treble’, hence a metonymic occupational name for a bellmaker or ringer.English : diminutive of Canter.French : nickname for someone who liked to sing.
Girl/Female
Irish
In Irish dorcha means “dark, dark-haired†or “descendant of the dark one.†Both a surname and a given name.
Boy/Male
African, Arabic
Confident; Generous
Boy/Male
Arabic, Muslim
Full Moon of the Faith
Girl/Female
Greek
A nymph.
Girl/Female
Bengali, Hindu, Indian, Kannada, Marathi, Sindhi, Telugu, Traditional
Lamp of the Sky; Another Name of the Sun
CATEGORICAL VARIABLE
CATEGORICAL VARIABLE
CATEGORICAL VARIABLE
CATEGORICAL VARIABLE
CATEGORICAL VARIABLE
a.
Of or pertaining to a category.
n.
That which is variable; that which varies, or is subject to change.
adv.
In a variable manner.
a.
Expressing the same thing with different words; -- opposed to allegorical.
n.
The quality of being categorical, positive, or absolute.
a.
Not hypothetical or relative; admitting no conditions or exceptions; declarative; absolute; positive; express; as, a categorical proposition, or answer.
n.
The quality or state of being variable; variableness.
n.
Those parts of the sea where a steady wind is not expected, especially the parts between the trade-wind belts.
a.
Liable to vary; too susceptible of change; mutable; fickle; unsteady; inconstant; as, the affections of men are variable; passions are variable.
a.
Having the capacity of varying or changing; capable of alternation in any manner; changeable; as, variable winds or seasons; a variable quantity.
n.
The quality or state of being variable; variability.
n.
A quantity which may increase or decrease; a quantity which admits of an infinite number of values in the same expression; a variable quantity; as, in the equation x2 - y2 = R2, x and y are variables.
n.
The minor or second proposition in a categorical syllogism.
adv.
Absolutely; directly; expressly; positively; as, to affirm categorically.
a.
Changeable; uncertain; inconstant; variable.
a.
Having always the same form, manner, or degree; not varying or variable; unchanging; consistent; equable; homogenous; as, the dress of the Asiatics has been uniform from early ages; the temperature is uniform; a stratum of uniform clay.
n.
The minor term, that is, the subject of the conclusion; also, the minor premise, that is, that premise which contains the minor term; in hypothetical syllogisms, the categorical premise. It is the second proposition of a regular syllogism, as in the following: Every act of injustice partakes of meanness; to take money from another by gaming is an act of injustice; therefore, the taking of money from another by gaming partakes of meanness.
a.
Liable to be turned in opinion; changeable; variable; unsteady; inconstant; as versatile disposition.
a.
Varying in from, character, or the like; variable; different; diverse.
n.
A shifting wind, or one that varies in force.