Table of Contents
27 relations: ACT (test), Dimensionless quantity, Error function, Expected value, Mahalanobis distance, Mathematical statistics, Mean, Normal distribution, Normalization (statistics), Omega ratio, Particle physics, Prediction interval, Random variable, Raw data, Regression analysis, Sample mean and covariance, Sampling (statistics), SAT, Standard deviation, Standard normal deviate, Statistical population, Statistics, Student's t-test, Studentized residual, T-statistic, Tailscale, Z-test.
ACT (test)
The ACT (originally an abbreviation of American College Testing) Name changed in 1996.
See Standard score and ACT (test)
Dimensionless quantity
Dimensionless quantities, or quantities of dimension one, are quantities implicitly defined in a manner that prevents their aggregation into units of measurement.
See Standard score and Dimensionless quantity
Error function
In mathematics, the error function (also called the Gauss error function), often denoted by, is a function defined as: \operatorname z.
See Standard score and Error function
Expected value
In probability theory, the expected value (also called expectation, expectancy, expectation operator, mathematical expectation, mean, expectation value, or first moment) is a generalization of the weighted average.
See Standard score and Expected value
Mahalanobis distance
The Mahalanobis distance is a measure of the distance between a point P and a distribution D, introduced by P. C. Mahalanobis in 1936.
See Standard score and Mahalanobis distance
Mathematical statistics
Mathematical statistics is the application of probability theory, a branch of mathematics, to statistics, as opposed to techniques for collecting statistical data.
See Standard score and Mathematical statistics
Mean
A mean is a numeric quantity representing the center of a collection of numbers and is intermediate to the extreme values of a set of numbers.
Normal distribution
In probability theory and statistics, a normal distribution or Gaussian distribution is a type of continuous probability distribution for a real-valued random variable.
See Standard score and Normal distribution
Normalization (statistics)
In statistics and applications of statistics, normalization can have a range of meanings. Standard score and normalization (statistics) are statistical ratios.
See Standard score and Normalization (statistics)
Omega ratio
The Omega ratio is a risk-return performance measure of an investment asset, portfolio, or strategy.
See Standard score and Omega ratio
Particle physics
Particle physics or high-energy physics is the study of fundamental particles and forces that constitute matter and radiation.
See Standard score and Particle physics
Prediction interval
In statistical inference, specifically predictive inference, a prediction interval is an estimate of an interval in which a future observation will fall, with a certain probability, given what has already been observed.
See Standard score and Prediction interval
Random variable
A random variable (also called random quantity, aleatory variable, or stochastic variable) is a mathematical formalization of a quantity or object which depends on random events.
See Standard score and Random variable
Raw data
Raw data, also known as primary data, are data (e.g., numbers, instrument readings, figures, etc.) collected from a source.
See Standard score and Raw data
Regression analysis
In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships between a dependent variable (often called the 'outcome' or 'response' variable, or a 'label' in machine learning parlance) and one or more independent variables (often called 'predictors', 'covariates', 'explanatory variables' or 'features').
See Standard score and Regression analysis
Sample mean and covariance
The sample mean (sample average) or empirical mean (empirical average), and the sample covariance or empirical covariance are statistics computed from a sample of data on one or more random variables.
See Standard score and Sample mean and covariance
Sampling (statistics)
In statistics, quality assurance, and survey methodology, sampling is the selection of a subset or a statistical sample (termed sample for short) of individuals from within a statistical population to estimate characteristics of the whole population.
See Standard score and Sampling (statistics)
SAT
The SAT is a standardized test widely used for college admissions in the United States.
Standard deviation
In statistics, the standard deviation is a measure of the amount of variation of a random variable expected about its mean.
See Standard score and Standard deviation
Standard normal deviate
A standard normal deviate is a normally distributed deviate.
See Standard score and Standard normal deviate
Statistical population
In statistics, a population is a set of similar items or events which is of interest for some question or experiment.
See Standard score and Statistical population
Statistics
Statistics (from German: Statistik, "description of a state, a country") is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data.
See Standard score and Statistics
Student's t-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.
See Standard score and Student's t-test
Studentized residual
In statistics, a studentized residual is the dimensionless ratio resulting from the division of a residual by an estimate of its standard deviation, both expressed in the same units. Standard score and studentized residual are statistical ratios.
See Standard score and Studentized residual
T-statistic
In statistics, the t-statistic is the ratio of the difference in a number’s estimated value from its assumed value to its standard error. Standard score and t-statistic are statistical ratios.
See Standard score and T-statistic
Tailscale
Tailscale Inc. is a software company based in Toronto, Ontario.
See Standard score and Tailscale
Z-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.
References
Also known as Sigma score, Standardised scores, Standardization (statistics), Standardize, Standardized (statistics), Standardized score, Standardized variable, Standardizing, Statistical standardization, T score, T-score, Z score, Z scores, Z statistic, Z-Score, Z-score (statistics), Z-score transformation, Z-scores, Z-scoring, Z-statistic, Zscore.