In statistics, **survey sampling** is random selection of a sample from a finite population. It is an important part of planning statistical research and design of experiments. Sophisticated sampling techniques that are both economical and scientifically reliable have been developed. Jump to: navigation, search Statistics is a type of data analysis which practice includes the planning, summarizing, and interpreting of observations of a system possibly followed by predicting or forecasting of future events based on a mathematical model of the system being observed. ...
Most scientific work starts with a question about the world we live in. ...
The first statistician to consider a methodology for the design of experiments was Sir Ronald A. Fisher. ...
An entire industry of public opinion polling as well as the technical activities of the U.S. Bureau of the Census depends on these techniques. Opinion polls are surveys of opinion using sampling. ...
The United States Census Bureau (officially Bureau of the Census) is a part of the United States Department of Commerce. ...
The most elementary methodology is called simple random sampling. Most of the theory of statistics assumes this kind of sampling unless otherwise noted. It assures that every possible subset of the population which has the desired sample size is given the same probability of selection. In statistics, a simple random sample from a population is a sample chosen randomly, in which each member of the population has the same probability of being chosen. ...
The possibility of very expensive or very atypical samples has led to a variety of modifications such as stratified sampling, cluster sampling, and multistage sampling. Stratified sampling is a method of sampling from a population in statistics. ...
Cluster sampling is used when natural groupings are evident in the population. ...
Multistage sampling is a complex form of cluster sampling. ...
In public opinion polling by private companies or organizations unable to require response, the resulting sample is self-selected rather than random. Volunteering for the sample may be determined by characteristics such as submissiveness or availability. The samples in such surveys are therefore non-probability samples of the population, and the validity of estimates of parameters based on them is unknown. They are, however, unquestionably random samples of that sizeable subset of the population which volunteers for opinion surveys. Sampling is the use of a subset of the population to represent the whole population. ...
A parameter is a measurement or value on which something else depends. ...
## See also
Sampling (statistics) Sampling is that part of statistical practice concerned with the selection of individual observations intended to yield some knowledge about a population of concern, especially for the purposes of statistical inference. ...
## External links |