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 ... 
Systematic Sampling
A type of probability sampling method in which sample members ... 
Representative Sample
A subset of a statistical population that accurately reflects ... 
Sample
A subset containing the characteristics of a larger population. ... 
Simple Random Sample
A subset of a statistical population in which each member of ... 
Sample Size Neglect
Sample size neglect occurs when an individual infers too much ...

Markets
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. 
Markets
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. 
Investing
Explaining Standard Error
Standard error is a statistical term that measures the accuracy with which a sample represents a population. 
Markets
How to Use Stratified Random Sampling
Stratified random sampling is a technique best used with a sample population easily broken into distinct subgroups. Samples are then taken from each subgroup based on the ratio of the subgroupâ€™s ... 
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How can a representative sample lead to sampling bias?
Learn how using representative samples alone is not enough to make sampling bias negligible and why elements such as randomization ... 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 >> 
How can I use systematic sampling in finance?
Learn about systematic sampling, how it works and how it can be used in finance, including Monte Carlo simulations that model ... Read Answer >> 
What are some examples of stratified random sampling?
Learn what simple random sampling and stratified random sampling are, some examples of stratified random samples, and how ... Read Answer >> 
How can I use systematic sampling with stratified sampling?
Learn how the systematic sampling technique can be used with stratified sampling method and when the two methods should not ... Read Answer >>