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Relationship of a sample to a population.

A. Sample size
B. Sampling error
C. Sample mean
D. Sample range

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Final answer:

The relationship of a sample to a population can be described through sample size, sampling error, sample mean, and sample range.

Step-by-step explanation:

The relationship of a sample to a population can be described in the following ways:

  1. Sample size: Sample size refers to the number of individuals or data points included in a sample. A larger sample size generally leads to more accurate representation of the population.
  2. Sampling error: Sampling error is the natural variation that occurs when a sample is used to represent a larger population. This variation decreases as the sample size increases.
  3. Sample mean: Sample mean is the average value of a variable in a sample. It provides an estimate of the population mean.
  4. Sample range: Sample range is the difference between the highest and lowest values in a sample. It helps to understand the variability within the sample.
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