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Taxonomy of statistical data elements
In statistics, data can have any of various types. Statistical data types include categorical (e.g. country), directional (angles or directions, e.g. wind
Statistical_data_type
Attribute of data
computer science and computer programming, a data type (or simply type) is a collection or grouping of data values, usually specified by a set of possible
Data_type
Study of collection and analysis of data
presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or
Statistics
Method of statistical inference
A statistical hypothesis test is a method of statistical inference used to decide whether the data provide sufficient evidence to reject a particular hypothesis
Statistical_hypothesis_test
Distinction between nominal, ordinal, interval and ratio variables
Inter-rater reliability Logarithmic scale Ramsey–Lewis method Set theory Statistical data type Transition (linguistics) Kirch, Wilhelm, ed. (2008). "Level of Measurement"
Level_of_measurement
Misuse of data analysis
statistical significance of a test and the statistical confidence of a finding are joint properties of data and the method used to examine the data.
Data_dredging
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
Statistical data type
In statistics, count data is a statistical data type describing countable quantities, data which can take only the counting numbers, non-negative integer
Count_data
on the application of statistical models for predictive forecasting or classification, while text analytics applies statistical, linguistic, and structural
Data_analysis
Concepts from statistical hypothesis testing
Type I error, or a false positive, is the incorrect rejection of a true null hypothesis in statistical hypothesis testing. A type II error, or a false
Type_I_and_type_II_errors
Variable capable of taking on a limited number of possible values
data is the statistical data type consisting of categorical variables or of data that has been converted into that form, for example as grouped data.
Categorical_variable
Unit described by the data that one analyzes, in statistics
would be conducted using a statistical sample consisting of various such data points. In addition, in statistical graphics, a "data point" may be an individual
Unit_of_observation
Type of statistics
either form the basis of the initial description of the data as part of a more extensive statistical analysis, or they may be sufficient in and of themselves
Descriptive_statistics
Parts of a whole which carry only relative information
Space Aitchison, John (1982). "The Statistical Analysis of Compositional Data". Journal of the Royal Statistical Society. Series B (Methodological).
Compositional_data
Algorithmically generated data that have a similar distribution as sampled data
generate more data. Constructing a synthesizer build involves constructing a statistical model. In a linear regression line example, the original data can be
Synthetic_data
Type of statistical data
In statistics, cross-sectional data is a type of data collected by observing many subjects (such as individuals, firms, countries, or regions) at a single
Cross-sectional_data
Data combined from several measurements
Information loss occurs because aggregation of data ignores individual variation as if it were only a type of statistical noise or measurement error. Inference
Aggregate_data
Correcting inaccurate computer records
data is difficult since the true value is not known, it can be resolved by setting the values to an average or other statistical value. Statistical methods
Data_cleansing
Two different methods for presenting tabular data
Un-stacked and stacked: Common in statistical software and spreadsheet operations. Pivoted and unpivoted: Common in SQL and data preparation tools like Power
Wide_and_narrow_data
Unit of information
Machine learning Open data Scientific data archiving Secondary Data Statistics Digital data Data aggregation OECD Glossary of Statistical Terms. OECD. 2008
Data
Statistical term of data on each of two paired variables
Ott, Lyman; Longnecker, Michael (2010). An Introduction to Statistical Methods and Data Analysis (Sixth ed.). Belmont, CA: Brooks/Cole. pp. 102–112.
Bivariate_data
Data whose unit can take on only two possible states
represent different data, even those originally not binary. In statistics, binary data is a statistical data type consisting of categorical data, that can take
Binary_data
Type of mathematical model
statistical model is a mathematical model that embodies a set of statistical assumptions concerning the generation of sample data (and similar data from
Statistical_model
Branch of statistics mathematics
identifying substructures of longitudinal data". Journal of the Royal Statistical Society, Series B (Statistical Methodology). 69 (4): 679–699. doi:10.1111/j
Functional_data_analysis
case, the "before" and "after" data are unpaired. Statistical tests used to compare sets of data have been designed for data sets that are either paired
Paired_data
Statistical concept
researcher—for example, when data collection is done improperly or mistakes are made in data entry. These forms of missingness take different types, with different
Missing_data
Subset of artificial intelligence
concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without being
Machine_learning
Concept in statistics
ordinal variable statistical methods cannot be used for nominal groups, nominal group methods can be used for both types of categorical data sets; however
Nominal_category
Longitudinal statistical study
panel data and longitudinal data are both multi-dimensional data involving measurements over time. Panel data is a subset of longitudinal data where observations
Panel_data
Type of statistical inference
relationship serves as the basis of type I and type II errors and confidence intervals. For statistical inference, the statistic about which we want to make inferences
Frequentist_inference
Approach of analyzing data sets in statistics
data analysis (EDA) or exploratory analytics is an approach of analyzing data sets to summarize their main characteristics, often using statistical graphics
Exploratory_data_analysis
Time series data technique
that reproduce various statistical properties like the autocorrelation structure of a measured data set. The resulting surrogate data can then for example
Surrogate_data
Visual representation of data
skills, statistical skills and computing skills, it is both an art and a science. Visual analytics combines statistical data analysis, data and information
Data and information visualization
Data_and_information_visualization
Types of numerical variables in mathematics
In statistics, continuous and discrete variables are distinct statistical data types which are described with different probability distributions. A
Continuous or discrete variable
Continuous_or_discrete_variable
Statistical analysis software
own statistical analysis. In addition to statistical analysis, data management (case selection, file reshaping and creating derived data) and data documentation
SPSS
misbehaviour of the data, such as outliers. They also have the disadvantage of being less certain in the statistical estimate. Type of data: Statistical tests use
List_of_statistical_tests
Analysis of geometric properties
Statistical shape analysis is an analysis of the geometrical properties of some given set of shapes by statistical methods. For instance, it could be used
Statistical_shape_analysis
Study with uncontrolled variable of interest
experimental control, multivariate statistical techniques allow the approximation of experimental control with statistical control by using matching methods
Observational_study
Condition in which the value of a measurement or observation is only partially known
to analyse a statistical problem involving censored data was Daniel Bernoulli's 1766 analysis of smallpox morbidity and mortality data to demonstrate
Censoring_(statistics)
Term in statistical hypothesis testing
probability of making a type II error (a false negative) conditional on there being a true effect or association. Statistical testing uses data from samples to
Power_(statistics)
Branch of nonparametric statistics
the American Statistical Association. 118 (542): 869–882. doi:10.1080/01621459.2021.1956937. S2CID 219721275. Dai, X. (2022). "Statistical inference on
Distributional_data_analysis
Categorization of data using statistics
When classification is performed by a computer, statistical methods are normally used to develop the algorithm. Often, the individual observations are
Statistical_classification
Sequence of data points over time
A time series is one type of panel data. Panel data is the general class, a multidimensional data set, whereas a time series data set is a one-dimensional
Time_series
Reduction of image size to save storage and transmission costs
statistical properties of image data to provide superior results compared with generic data compression methods which are used for other digital data
Image_compression
Systemic inaccuracy
used to gather data and estimate a sample statistic present an inaccurate, skewed or distorted (biased) depiction of reality. Statistical bias exists in
Bias_(statistics)
Selection of data points in statistics
individuals from within a statistical population to estimate characteristics of the whole population. The subset, called a statistical sample (or sample, for
Sampling_(statistics)
Type of statistics
distribution of the data. Classical statistical procedures are typically sensitive to "longtailedness" (e.g., when the distribution of the data has longer tails
Robust_statistics
Statistical hypothesis test
a statistical test used to test whether the difference between the response of two groups is statistically significant or not. It is any statistical hypothesis
Student's_t-test
Statistics published by government agencies
official statistics, and include statistical surveys and censuses. Secondary, or "non-statistical" sources, are data that have been primarily collected
Official_statistics
In statistics, method of making values limited above or below
Dictionary of Statistical Terms. OUP. ISBN 0-19-920613-9 Breen, Richard (1996). Regression Models : Censored, Sample Selected, or Truncated Data. Quantitative
Truncation_(statistics)
Pseudoscience linking character and blood type
Nomi analyzed various data by using statistical methods and found meaningful traits; the following are some of his works. Blood Type Affinity Study 5/1974
Blood_type_personality_theory
Images used to represent statistical data visually
Statistical graphics, also known as statistical graphical techniques, are graphics used in the field of statistics for data visualization. Whereas statistics
Statistical_graphics
Type of statistical analysis
Nonparametric statistics is a type of statistical analysis that makes minimal assumptions about the underlying distribution of the data being studied. Often these
Nonparametric_statistics
Measure of consensus in ratings given by multiple observers
inter-rater reliability. Different statistics are appropriate for different types of measurement. Some options are joint-probability of agreement, such as
Inter-rater_reliability
Programming language for statistics
for statistical computing and data visualization. It has been widely adopted in the fields of data mining, bioinformatics, data analysis, and data science
R_(programming_language)
Subdiscipline of statistics
that special statistical methods are required for the analysis of some types of data (in this case, angular data). Other examples of data that may be regarded
Directional_statistics
frameworks, data engineering tools, statistical software, data analysis, plotting, MLOps systems, and more. Cassandra Query Language Data Analysis Expressions
List_of_data_science_software
these types of errors more likely. Statistical conclusion validity involves ensuring the use of adequate sampling procedures, appropriate statistical tests
Statistical conclusion validity
Statistical_conclusion_validity
Theory of statistics
and data analysis, that are used within applications of statistics. The theory covers approaches to statistical-decision problems and to statistical inference
Statistical_theory
Animal population estimation method
mark-recapture data is trending towards a more integrative approach, which combines mark-recapture data with population dynamics models and other types of data. The
Mark_and_recapture
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
Statistical property quantifying how much a collection of data is spread out
measures of statistical dispersion are the variance, standard deviation, and interquartile range. For instance, when the variance of data in a set is
Statistical_dispersion
Numerical measure of a statistical relationship between variables
measure of some type of linear correlation, meaning a linear function between two variables. The variables may be two columns of a given data set of observations
Correlation_coefficient
Collection of data
United Nations Statistical Commission; United Nations Economic Commission for Europe (2007). Statistical Data Editing: Impact on Data Quality: Volume
Data_set
Simultaneous observation and analysis of more than one outcome variable
be used to represent the distributions of observed data; how they can be used as part of statistical inference, particularly where several different quantities
Multivariate_statistics
Data about other data
resource type, and permissions, and when and how it was created. Reference metadata – the information about the contents and quality of statistical data. Statistical
Metadata
Properties not expressed numerically
Level of measurement Qualitative research Quantitative research Statistical data type "qualitative adjective - Definition, pictures, pronunciation and
Qualitative_property
Type of database that uses vectors to represent other data
as images, audio, and other types of data, can all be vectorized. These feature vectors may be computed from the raw data using machine learning methods
Vector_database
Table which shows probability of death at various ages
tables if they show various types of sickness or disability rates. The availability of computers and the proliferation of data gathering about individuals
Life_table
Probabilistic problem-solving algorithms
particle models, island type particle models, and particle Markov chain Monte Carlo methods In physics, and more particularly in statistical mechanics, these
Mean-field_particle_methods
Organized collection of data in computing
In computing, a database is an organized collection of data or a type of data store based on the use of a database management system (DBMS), the software
Database
Class of statistical estimators
The statistical procedure of evaluating an M-estimator on a data set is called M-estimation. The "M" initial stands for "maximum likelihood-type". More
M-estimator
Topics referred to by the same term
scale, ranking things that are not necessarily numbers Ordinal data, a statistical data type consisting of numerical scores that exist on an arbitrary numerical
Ordinal
Collection of random variables
Encyclopedia of Statistical Sciences. p. 1. doi:10.1002/0471667196.ess2180.pub2. ISBN 978-0471667193. Aris Spanos (1999). Probability Theory and Statistical Inference:
Stochastic_process
and temperature record, and analytical work which requires statistical inference. Statistical activities are often associated with models expressed using
History_of_statistics
Science and research term
way in which the attribute is represented for further data processing. In data processing data are often represented by a combination of items (objects
Variable and attribute (research)
Variable_and_attribute_(research)
Simonton as: a quantitative method of statistical analysis for retrospective data. In Simonton's work the raw data comes from psychometric assessment of
Historiometry
Statistics concept
standardize statistical errors (especially of a normal distribution) in a z-score (or "standard score"), and standardize residuals in a t-statistic, or more
Errors_and_residuals
Statistical hypothesis test
the data hold. F-tests are frequently used to compare different statistical models and find the one that best describes the population the data came
F-test
Application of statistical techniques to biological systems
beginning, used statistical concepts to understand observed experimental results. Some genetics scientists even contributed with statistical advances with
Biostatistics
and the types of instruments that are used in data collection. Methods also vary by whether they collect qualitative data, quantitative data or both.
List of psychological research methods
List_of_psychological_research_methods
Field in statistics pertaining to establishing cause and effect
use of statistical algorithms to infer associations in observed data sets that are potentially causal under strict assumptions. ECA is a type of causal
Exploratory_causal_analysis
Psychometric measurement scale
Likert Scales and Other Applications". Journal of Statistical Software. Vol. 57. American Statistical Association. pp. 1–32. doi:10.18637/jss.v057.i05
Likert_scale
Statistical model validation technique
techniques for assessing how the results of a statistical analysis will generalize to an independent data set. Cross-validation includes resampling and
Cross-validation_(statistics)
Statistic used in statistical hypothesis testing
statistics and their corresponding statistical tests or models. Test statistic is a quantity derived from the sample for statistical hypothesis testing. A hypothesis
Test_statistic
Statistical behavior found in a wide variety of datasets
and, indeed, across a range of types of data sets. Many of these observances have been formulated and proved as statistical or probabilistic theorems and
Empirical_statistical_laws
Grouping a set of objects by similarity
(clusters). It is a main task of exploratory data analysis, and a common technique for statistical data analysis, used in many fields, including pattern
Cluster_analysis
Circular statistical graph of proportionality
for consumption in Paris. Early types of pie charts in the 19th century Pie charts from William Playfair's "Statistical Breviary", 1801 One of the earliest
Pie_chart
Graphic visual representation of information
and trends. Similar pursuits are information visualization, data visualization, statistical graphics, information design, or information architecture.
Infographic
Statistical software
SAS (previously Statistical Analysis System[when?]) is a data and artificial intelligence software developed by SAS Institute for data management, advanced
SAS_(software)
Cognitive bias about one's own skill
performances of others. The statistical explanation holds that the empirical effect may largely be the result of a mere statistical effect and the fact that
Dunning–Kruger_effect
Type of information sanitization
Data anonymization is a type of information sanitization whose intent is privacy protection. It is the process of removing personally identifiable information
Data_anonymization
Automated recognition of patterns and regularities in data
on the type of label output, on whether learning is supervised or unsupervised, and on whether the algorithm is statistical or non-statistical in nature
Pattern_recognition
Processing of natural language by a computer
which include both statistical and neural networks, on the other hand, have many advantages over the symbolic approach: both statistical and neural network
Natural_language_processing
package for programming in statistical languages. It adds two types of modes to emacs: ESS modes for editing statistical languages like R, SAS and Julia;
Emacs_Speaks_Statistics
Evaluating whether a chosen statistical model is appropriate or not
a chosen statistical model is appropriate or not. Oftentimes in statistical inference, inferences from models that appear to fit their data may be flukes
Statistical_model_validation
Estimator for quality of a statistical model
and thereby relative quality of statistical models for a given set of data. Given a collection of models for the data, AIC estimates the quality of each
Akaike_information_criterion
Measure of a civilization's evolution
In accordance with the data available at the time, Kardashev did not go beyond a Type III civilization. However, new types (0, IV, V, and VI) have been
Kardashev_scale
Branch of statistics
make inference, statistical inference most often uses: a statistical model of the random process that is supposed to generate the data, which is known
Mathematical_statistics
Extremely large or complex datasets
greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data analysis
Big_data
STATISTICAL DATA-TYPE
STATISTICAL DATA-TYPE
Male
Hebrew
(דֶּרַע) Hebrew name DARA means "the arm." In the bible, this is the name of a son of Zerah. Compare with other forms of Dara.
Female
Finnish
 Short form of Finnish Katariina, KATA means "pure." Compare with other forms of Kata.
Female
Russian
 Short form of Russian Yekaterina, KATA means "pure." Compare with other forms of Kata.
Male
Turkish
Turkish name ATA means "ancestor."
Male
Irish
Irish Gaelic name MAC DARA means "son of oak." This is the name of a patron saint and is still common in Ireland, especially in Connemara.
Female
English
 Middle English name DARA means "brave, daring." Compare with another form of Dara.
Female
Hungarian
 Short form of Hungarian Katalin, KATA means "pure." Compare with other forms of Kata.
Female
Polish
 Variant spelling of Polish Dyta, DITA means "rich battle." Compare with another form of Dita.
Male
English
English surname transferred to unisex forename use, possibly DANA means "from Denmark."
Female
Finnish
Variant form of Finnish Aada, AATA means "noble."
Male
Hebrew
Variant spelling of Hebrew Dathan, DATAN means "belonging to a fountain."
Female
English
 English surname transferred to unisex forename use, possibly DANA means "from Denmark." Compare with other forms of Dana.
Female
Hindi/Indian
(लता) Hindi name derived from a plant name, from the Sanskrit word lata, LATA means "creeper," in reference to a creeping plant.
Female
Hebrew
(דִּיתָה) Pet form of Hebrew Yehuwdiyth, DITA means "Jewess" or "praised." Compare with another form of Dita.
Female
Polish
Short form of Polish Edyta, DYTA means "rich battle."
Girl/Female
Hindu
A creeper
Male
Iranian/Persian
 Short form of Persian Dârayavahush, DARA means "possesses a lot, wealthy." Compare with other forms of Dara.
Female
Slavic
 Short form of Slavic Bogdana, DANA means "gift from God." Compare with other forms of Dana.
Male
Irish
 From Irish Gaelic Mac Dara, DARA means "son of oak." Compare with other forms of Dara.
Female
Hebrew
(×“Ö¼Ö¸× Ö¸×”) Feminine form of Hebrew Dan, DANA means "judge." Compare with other forms of Dana.
STATISTICAL DATA-TYPE
STATISTICAL DATA-TYPE
Boy/Male
Hindu
Honest or soft, Dignified, Simple
Girl/Female
Assamese, Hindu, Indian, Kannada, Malayalam, Marathi, Telugu, Traditional
Spring Blossom
Surname or Lastname
English
English : variant of Beveridge.
Boy/Male
Hindu
Supreme name
Boy/Male
American, Anglo, Australian, British, Chinese, Christian, English, French, Jamaican
From the Hill on the Ledge; Protected Hill; From the Steep Valley
Boy/Male
Indian
The creator
Boy/Male
Hindu
Girl/Female
Indian, Sikh
Religious Song of God
Girl/Female
Indian, Modern
Lots of Love
Boy/Male
Assamese, Gujarati, Hindu, Indian, Kannada, Telugu
Disciple of the God; Avatar of Om; Incarnation of God
STATISTICAL DATA-TYPE
STATISTICAL DATA-TYPE
STATISTICAL DATA-TYPE
STATISTICAL DATA-TYPE
STATISTICAL DATA-TYPE
n. pl.
See Datum.
n.
A statistician.
v. t.
To note the time of writing or executing; to express in an instrument the time of its execution; as, to date a letter, a bond, a deed, or a charter.
n.
That addition to a writing, inscription, coin, etc., which specifies the time (as day, month, and year) when the writing or inscription was given, or executed, or made; as, the date of a letter, of a will, of a deed, of a coin. etc.
a.
Alt. of Statistical
n.
The branch of mathematics which studies methods for the calculation of probabilities.
n.
One versed in statistics; one who collects and classifies facts for statistics.
pl.
of Datum
n.
See Statistics, 2.
n.
The fruit of the date palm; also, the date palm itself.
n.
Classified facts respecting the condition of the people in a state, their health, their longevity, domestic economy, arts, property, and political strength, their resources, the state of the country, etc., or respecting any particular class or interest; especially, those facts which can be stated in numbers, or in tables of numbers, or in any tabular and classified arrangement.
adv.
In the way of statistics.
imp. & p. p.
of Date
p. pr. & vb. n.
of Date
n.
Prior date; a date antecedent to another which is the actual date.
n.
Vital statistics.
a.
Of or pertaining to statistics; as, statistical knowledge, statistical tabulation.
a.
Arranged in a schedule; as, tabular statistics.
n.
The point of time at which a transaction or event takes place, or is appointed to take place; a given point of time; epoch; as, the date of a battle.
v. t.
To note or fix the time of, as of an event; to give the date of; as, to date the building of the pyramids.