DEFINITION of 'Attribute Sampling'
A mathematical process used to analyze the characteristics of a given population of subjects. For example, a sampling of returns on an index or security can provide insight into how the subject performs under various market conditions.
Next Up
BREAKING DOWN 'Attribute Sampling'
An attribute is defined as a specific characteristic or feature of a given subject. In the world of finance, attribute sampling could reveal how many mortgages are past due and how many are current. The attribute in this case would obviously be status of the mortgage payments. However, attribute samplings may be more complex in nature, examining several different variables.
RELATED TERMS

Sample
A subset containing the characteristics of a larger population. ... 
Sampling
A process used in statistical analysis in which a predetermined ... 
Sampling Error
A statistical error to which an analyst exposes a model simply ... 
Sampling Distribution
A probability distribution of a statistic obtained through a ... 
Systematic Sampling
A type of probability sampling method in which sample members ... 
Stratified Random Sampling
A method of sampling that involves the division of a population ...
Related Articles

Professionals
Sampling and Estimation
CFA Level 1  Sampling and Estimation sampling error, in depth information on confidence intervals and tdistributions 
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. 
Economics
What is Systematic Sampling?
Systematic sampling is similar to random sampling, but it uses a pattern for the selection of the sample. 
Fundamental Analysis
What is a Representative Sample?
In statistics, a representative sample accurately represents the makeup of various subgroups in an entire data pool. 
Fundamental Analysis
Explaining Standard Error
Standard error is a statistical term that measures the accuracy with which a sample represents a population. 
Fundamental Analysis
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
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 ... 
Fundamental Analysis
Explaining the Central Limit Theorem
Central limit theorem is a fundamental concept in probability theory. 
Professionals
Sampling Considerations
CFA Level 1  Sampling Considerations 
Professionals
Calculating Confidence Intervals
CFA Level 1  Confidence Intervals  Calculations
RELATED FAQS

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 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 >> 
What percentage of the population do you need in a representative sample?
Learn about representative samples and how they are used in conjunction with other strategies to create useful data with ... 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 some common financial sampling methods?
Read about the differences between various common financial sampling methods for financial analysts, statisticians, marketers ... Read Answer >> 
What's the difference between a representative sample and an unbiased sample?
Discover how the different techniques used to select representative samples and unbiased samples are often exploited and ... Read Answer >>