sampling without replacement

sampling without replacement

Sampling without replacement takes a sample from a population, remove the object sampled, then sample again from the remaining objects in the population; the R function sample() does this.

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    • sampling with replacement

      Sampling with replacement takes a sample from a population, record the values, put all cases back into the population, then sample again; the R function resample() does this.

    • sampling

      Sampling is the process by which we choose which objects to study.

    • sample()

      The sample() function will take a random sample of rows from the data frame, without replacement (of the specified sample size).  For random sampling with replacement, see the resample() function. Example 1: You can take a closer look at how the ...

    • sampling distribution

      Sampling distribution is the distribution of an estimate across many possible samples.

    • sampling error

      Sampling error is the variation that occurs from sample to sample due to the fact that no sample is a perfect representation of the population; can be biased or unbiased; also known as sampling variation.