A random sample is that part of a statistical entirety, which is achieved after a certain selection procedure (mostly after a strictly random selection), e.g.: in the examination of the chemical composition of a tube from a tube bundle. From the results of the random sample, the entirety is inferred, i.e. when the chemical composition of the random sample is correct, it is assumed, that this also applies for all tubes of the tube bundle.
One or more samples randomly selected from the universe (population).
research subjects selected on the basis of chance giving every member of the population/group/segment being studied the same opportunity to be chosen. This equal probability of selection as a provider of data permits the application of probability statistics to the collected information.
a sample in which each member of a population has an equal chance of being chosen as a subject.
a sample of a population where each member of the population has an equal chance of being in the sample.
A sample in which all members of the population have an equal statistical chance of being included.
members of a population selected by a method designed to ensure that each person in the target group has an equal chance of selection
A sample in which all members of the target population have an equal and independent chance of being selected for the study; also known as a probability sample.
The selection of items or data for verification or measurement that is not predetermined on a value, location or any other basis.
A specified number of packages taken from a lot, in such a way that each package has the same probability of being chosen.
A sampling method whereby each service output in a lot has an equal chance of being selected.
Sub-set of a sampling population that is arrived at by selecting units such that each possible unit has a fixed and determinate probability of selection.
A group of people (or animals or things) chosen from a larger group by chance. Sometimes this kind of sampling is done with a table of random numbers, or with a computer giving out random numbers, or by drawing lots.
A sample drawn from the population such that every member of the population has an equal opportunity to be included in a sample.
A group of persons are selected from a population in such a way that each individual has an equal chance of being chosen. In addition, the selection of one person does not influence the chances of other people being selected.
A selection of some members of a population such that each member is independently chosen and has a known non-zero probability of being selected.
a sample in which every element in the population has an equal chance of being selected
a sample grabbed at random
a group selected for study, which is drawn at random from the universe of cases by a statistically valid method
a sample chosen from a population in a fashion that ensures every object, event, item or individual has an equal chance of being drawn
a sample from a population in which all of the individual values in the sample were selected according to their likelihood or probability in the population
a sample of a previous printed job, not an actual sample of your design
a sample taken in such a way that each element of the population has the same probability of being selected
a sample that has been chosen by a process of random selection so that it models the characteristics of the population it is supposed to represent as closely as possible
a sample where everybody in the population being studied had an equal chance of being selected in the sample
a sample which is taken under statistical consideration to provide representative data
a sample whose members are chosen at random from a given population in such a way that the chance of obtaining any particular sample can be computed
a selection according to a random process, with the selection of each entity in no way dependent on the selection of other entities
a subset of observations drawn from a given population in such a way that each observation contrived in the population has an equal chance of being included in the sample
a subset of the population that is non-bias and represent all possibilities
a subset where every item in the population has the same probability of being in the sample
A group of subjects randomly chosen from a defined population.
individuals chosen in such a way that each has an equal chance of being selected.
A sample in which each object has an equal chance of being selected for the sample.
A group of cases drawn from a population such that each member of the population has had an equal and independent chance of selection.
A sample of respondents in which every individual of the population has had an equal chance of being included in the sample.
group chosen in a way that gives everybody an equal chance of being selected; meant to represent the population from which it was drawn.
A sample derived by selecting individuals such that each individual has the same probability of selection.
A sample in which every unit has an equal (non zero) and known probability of being selected. Sometimes called a probability sample.
One in which every member of the universe has an equal chance of being chosen.
A sample chosen with little or no attempt to ensure representation of the wider population.
A fraction of the population that is selected at random (ie all individuals have an equal chance of selection).
See Probability Sample.
Pixels are chosen randomly from each spectral class so that the interpreter can label them as a land cover class. The label can be derived from the screen image, maps, aerial photography or field work.
sample selected in such a way that each unit of the population has an equal chance of being selected. [D01602] MIL-STD 109A QMPP
A selection of observations taken from all the observations of a phenomenon in such a way that each chosen observation has the same possibility of selection.
A random sample is a procedure to select subjects for a study in which all individuals in a population being studied have an equal chance of being selected. using a random sample allows the results of the study to be generalized to the entire population. The term random also applies to assignments within controlled studies, or the division of subjects into groups. Random assignment ensures that all subjects have an equal chance of being in the experimental and control groups, and increases the probability that any unidentified variable will systematically occur in both groups with the same frequency. Randomization is crucial to control for variables that researchers may not be aware of or cannot adequately control, but which could affect the outcome of an experimental study.
A sampling frame that seeks to ensure that all members of the population have an equal chance of being included in the sample. The method to produce this result is to draw completely without structure or randomly from the population of interest.
A sample taken from a population in a way that gives all members of the population the same chance of being selected.
A specific type of probability sample in which subjects are selected from a population list using a table of random numbers or a random number generator. (A random sample requires a list of population members in which each member can be assigned a discrete number.) The assignment of subjects to different treatments, interventions, or conditions according to chance, rather than systematically. Random assignment of subjects increases the probability that differences observed between subject groups are the result of the experimental intervention.
Every member of a population has an equally-likely chance of being in a random sample. It is representative of the population being studied.
The systematic selection of respondents (usually for survey purposes) that ensures that everyone in the population has an equal chance of being selected.
A way of recruiting a fixed number of participants from a pool of potential participants by choosing them on some random basis (e.g., drawing their names out of a hat). It is important to sample randomly, unless a certain criterion needs to be met. If one chooses in a systematic way (e.g., every pupil sitting at the front of the class) then the sample may be biased.
Also called a "probability sample," this is a sample in which every unit has an equal and known probability of being selected.
A sample derived by selecting sampling units (for example, individual patients) such that each unit has an independent and fixed (generally equal) chance of selection. Whether a given unit is selected is determined by chance (for example, by a table of randomly ordered numbers).
A sample that has been selected by a random process, generally by reference to a table of random numbers.
A sample of n subjects (or objects) selected from a population so that each has known chance of being in the sample.
sample of a population that has the property that each item has an equal chance of being selected, and in which the chance of one item being selected does not affect the selection of any other item. Random samples are often used to ensure that the sample is representative of the population. Sometimes a sample that is not totally random but distributed uniformly with respect to nuisance parameters has desirable properties.
A sample of the members of some total population drawn in such a way that every member of the population has an equal chance of being included. If the sample is free of bias and representative of the total population, then findings for the sample can be generalized to the total population.
Every item in the population has the same chance of being selected for a random sample, with no favouritism.
sample selected at random from a population.
A sample obtained by a selection from a population, in which element of the population has an equal chance of being selected.
A selection in which everyone in the target population has an equal chance of being chosen; in other words, choice occurs by chance.
A sample is a subset chosen from a population for investigation. A random sample is one chosen by a method involving an unpredictable component. Random sampling can also refer to taking a number of independent observations from the same probability distribution, without involving any real population.