# Statistical population

**populationsubpopulationsubpopulationspopulationssamplingsub-populationsubclasses**

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

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### Statistics

**statisticalstatistical analysisstatistician**

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

In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied.

### Statistical inference

**inferential statisticsinferenceinferences**

In statistical inference, a subset of the population (a statistical sample) is chosen to represent the population in a statistical analysis.

Inferential statistical analysis infers properties of a population, for example by testing hypotheses and deriving estimates.

### Sample (statistics)

**samplesamplesstatistical sample**

In statistical inference, a subset of the population (a statistical sample) is chosen to represent the population in a statistical analysis.

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

### Mixture model

**Gaussian mixture modelmixture modelsGMM**

Populations consisting of subpopulations can be modeled by mixture models, which combine the distributions within subpopulations into an overall population distribution.

In statistics, a mixture model is a probabilistic model for representing the presence of subpopulations within an overall population, without requiring that an observed data set should identify the sub-population to which an individual observation belongs.

### Sampling fraction

The ratio of the size of this statistical sample to the size of the population is called a sampling fraction.

In sampling theory, the sampling fraction is the ratio of sample size to population size or, in the context of stratified sampling, the ratio of the sample size to the size of the stratum.

### Sampling (statistics)

**samplingrandom samplesample**

In statistics, quality assurance, and survey methodology, sampling is the selection of a subset (a statistical sample) of individuals from within a statistical population to estimate characteristics of the whole population.

### Set (mathematics)

**setsetsmathematical set**

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

### Experiment

**experimentalexperimentationexperiments**

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

### Star

**starsstellarmassive star**

A statistical population can be a group of existing objects (e.g. the set of all stars within the Milky Way galaxy) or a hypothetical and potentially infinite group of objects conceived as a generalization from experience (e.g. the set of all possible hands in a game of poker).

### Milky Way

**Milky Way Galaxygalaxyour galaxy**

A statistical population can be a group of existing objects (e.g. the set of all stars within the Milky Way galaxy) or a hypothetical and potentially infinite group of objects conceived as a generalization from experience (e.g. the set of all possible hands in a game of poker).

### Galaxy

**galaxiesgalacticgalactic nuclei**

A statistical population can be a group of existing objects (e.g. the set of all stars within the Milky Way galaxy) or a hypothetical and potentially infinite group of objects conceived as a generalization from experience (e.g. the set of all possible hands in a game of poker).

### Infinite set

**infiniteinfinitelyinfinitely many**

### Poker

**poker playerpoker gameProfessional Poker Player**

### Subset

**supersetproper subsetsubsets**

In statistical inference, a subset of the population (a statistical sample) is chosen to represent the population in a statistical analysis.

### Estimation theory

**parameter estimationestimationestimated**

It is then possible to estimate the population parameters using the appropriate sample statistics.

### Estimator

**estimatorsestimateestimates**

It is then possible to estimate the population parameters using the appropriate sample statistics.

### Kurtosis

**excess kurtosisleptokurticplatykurtic**

For example, given two equal subpopulations, both normally distributed, if they have the same standard deviation and different means, the overall distribution will exhibit low kurtosis relative to a single normal distribution – the means of the subpopulations fall on the shoulders of the overall distribution.

### Multimodal distribution

**bimodalbimodal distributionmultimodal**

If sufficiently separated, these form a bimodal distribution, otherwise it simply has a wide peak.

### Overdispersion

**underdispersionover-dispersionoverdispersed**

Further, it will exhibit overdispersion relative to a single normal distribution with the given variation.

### Data collection system

**automated data collection systemsData collectiondata collection and processing**

### Horvitz–Thompson estimator

**Horvitz-Thompson Estimator**

### Median

**averagesample medianmedian-unbiased estimator**

The median is the value separating the higher half from the lower half of a data sample (a population or a probability distribution).

### List of least concern fishes

**least concern**

There are 313 species and two subpopulations of cartilaginous fish assessed as least concern.

### Gazetteer

**1 gazetteersgeographical dictionary**

Content of a gazetteer can include a subject's location, dimensions of peaks and waterways, population, gross domestic product and literacy rate.