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  2. Sampling (statistics) - Wikipedia

    en.wikipedia.org/wiki/Sampling_(statistics)

    A visual representation of the sampling process. In statistics, quality assurance, and survey methodology, sampling is the selection of a subset or a statistical sample (termed sample for short) of individuals from within a statistical population to estimate characteristics of the whole population.

  3. Sampling design - Wikipedia

    en.wikipedia.org/wiki/Sampling_design

    2 An example of a sampling design. 3 Sample design for managerial research. 4 See also. ... is the probability of being included in the sample and () is the total ...

  4. Consecutive sampling - Wikipedia

    en.wikipedia.org/wiki/Consecutive_sampling

    In the design of experiments, consecutive sampling, also known as total enumerative sampling, [1] is a sampling technique in which every subject meeting the criteria of inclusion is selected until the required sample size is achieved. [2]

  5. Sample size determination - Wikipedia

    en.wikipedia.org/wiki/Sample_size_determination

    Sample sizes may be evaluated by the quality of the resulting estimates, as follows. It is usually determined on the basis of the cost, time or convenience of data collection and the need for sufficient statistical power. For example, if a proportion is being estimated, one may wish to have the 95% confidence interval be

  6. Systematic sampling - Wikipedia

    en.wikipedia.org/wiki/Systematic_sampling

    This is random sampling with a system. From the sampling frame, a starting point is chosen at random, and choices thereafter are at regular intervals. For example, suppose you want to sample 8 houses from a street of 120 houses. 120/8=15, so every 15th house is chosen after a random starting point between 1 and 15.

  7. Category:Sampling techniques - Wikipedia

    en.wikipedia.org/wiki/Category:Sampling_techniques

    This category is for techniques for statistical sampling from real-world populations, used in observational studies and surveys. For techniques for sampling random numbers from desired probability distributions, see category:Monte Carlo methods.

  8. Simple random sample - Wikipedia

    en.wikipedia.org/wiki/Simple_random_sample

    It is a process of selecting a sample in a random way. In SRS, each subset of k individuals has the same probability of being chosen for the sample as any other subset of k individuals. [1] Simple random sampling is a basic type of sampling and can be a component of other more complex sampling methods. [2]

  9. Theoretical sampling - Wikipedia

    en.wikipedia.org/wiki/Theoretical_sampling

    Theoretical sampling has inductive as well as deductive characteristics. [6] It is very flexible as the researcher can make shifts in plans and emphasize early in the research process so that the data gathered reflects what is occurring in the field. [7] Certain disadvantages may be associated with this sampling method.