19 relations: Data, Dimensionless quantity, Expected value, Mathematical statistics, Mean, Normalization (statistics), Omega ratio, Prediction interval, Random variable, Raw score, Sample (statistics), Sample mean and covariance, Standard deviation, Standard normal deviate, Statistical population, Statistics, Student's t-test, T-statistic, Z-test.

## Data

Data is a set of values of qualitative or quantitative variables.

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## Dimensionless quantity

In dimensional analysis, a dimensionless quantity is a quantity to which no physical dimension is assigned.

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## Expected value

In probability theory, the expected value of a random variable, intuitively, is the long-run average value of repetitions of the experiment it represents.

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## Mathematical statistics

Mathematical statistics is the application of mathematics to statistics, as opposed to techniques for collecting statistical data.

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## Mean

In mathematics, mean has several different definitions depending on the context.

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## Normalization (statistics)

In statistics and applications of statistics, normalization can have a range of meanings.

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## Omega ratio

The Omega ratio is a risk-return performance measure of an investment asset, portfolio, or strategy.

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## 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.

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## Random variable

In probability and statistics, a random variable, random quantity, aleatory variable, or stochastic variable is a variable whose possible values are outcomes of a random phenomenon.

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## Raw score

In statistics and data analysis, a raw score is an original datum that has not been transformed.

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## Sample (statistics)

In statistics and quantitative research methodology, a data sample is a set of data collected and/or selected from a statistical population by a defined procedure.

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## Sample mean and covariance

The sample mean or empirical mean and the sample covariance are statistics computed from a collection (the sample) of data on one or more random variables.

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## Standard deviation

In statistics, the standard deviation (SD, also represented by the Greek letter sigma σ or the Latin letter s) is a measure that is used to quantify the amount of variation or dispersion of a set of data values.

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## Standard normal deviate

A standard normal deviate (or standard normal variable) is a normally distributed random variable with expected value 0 and variance 1.

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## Statistical population

In statistics, a population is a set of similar items or events which is of interest for some question or experiment.

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## Statistics

Statistics is a branch of mathematics dealing with the collection, analysis, interpretation, presentation, and organization of data.

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## Student's t-test

The t-test is any statistical hypothesis test in which the test statistic follows a Student's ''t''-distribution under the null hypothesis.

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## T-statistic

In statistics, the t-statistic is the ratio of the departure of the estimated value of a parameter from its hypothesized value to its standard error.

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## 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.

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## Redirects here:

Sigma score, Standardised scores, Standardization (statistics), Standardize, Standardized (statistics), Standardized score, Standardized variable, Standardizing, T score, T-score, Z score, Z scores, Z statistic, Z-Score, Z-score, Z-scores, Zscore, Z‐score.