What is 'Sampling'
Sampling is a process used in statistical analysis in which a predetermined number of observations will be taken from a larger population. The methodology used to sample from a larger population will depend on the type of analysis being performed, but will include simple random sampling, systematic sampling and observational sampling.
The sample should be a representation of the general population.
BREAKING DOWN 'Sampling'
When taking a sample from a larger population, it is important to consider how the sample will be drawn. To get a representative sample, the sample must be drawn randomly and encompass the entire population. For example, a lottery system could be used to determine the average age of students in a University by sampling 10% of the student body, taking an equal number of students from each faculty.

Sampling Error
A statistical error to which an analyst exposes a model simply ... 
Sampling Distribution
A probability distribution of a statistic obtained through a ... 
Sample
A subset containing the characteristics of a larger population. ... 
Simple Random Sample
A subset of a statistical population in which each member of ... 
Central Limit Theorem  CLT
A statistical theory that states that given a sufficiently large ... 
Population
The entire pool from which a statistical sample is drawn. The ...

Fundamental Analysis
How Does Sampling Work?
Sampling is a term used in statistics that describes methods of selecting a predefined representative number of data from a larger data population. 
Fundamental Analysis
What is a Representative Sample?
In statistics, a representative sample accurately represents the makeup of various subgroups in an entire data pool. 
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Understanding the Simple Random Sample
A simple random sample is a subset of a statistical population in which each member of the subset has an equal probability of being chosen. 
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What is the difference between systematic sampling and cluster sampling?
Learn about the differences between systematic sampling and cluster sampling, including how the samples are created for each ... Read Answer >> 
When is it better to use systematic over simple random sampling?
Learn when systematic sampling is better than simple random sampling, such as in the absence of data patterns and when there ... Read Answer >> 
What's the difference between a representative sample and a convenience sample?
Learn the difference between convenience sampling and representative sampling and the advantages and disadvantages of each ... Read Answer >> 
What are the advantages of using a simple random sample to study a larger population?
Learn how simple random sampling works and what advantages it offers over other sampling methods when selecting a research ... Read Answer >> 
What is the difference between a simple random sample and a stratified random sample?
Learn about the differences between simple random sampling and stratified random sampling, and learn about the advantages ... Read Answer >> 
What are the best selection methods for creating a simple random sample?
Discover some of the methods that researchers and pollsters utilize to select a simple random sample from a population group ... Read Answer >>