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When the items included in a sample are based on the judgement of the individual conducting the sample , the sample is said to be non - random.
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A statistic is a characteristic of a population.
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A sampling plan that selects members from a population at uniform intervals in time order or space is called stratified sampling.
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As a general rule, it is not necessary to include a finite population multiplier in a computation for standard error of the mean when the size of the sample is greater than 50.
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The probability distribution of all the possible means of samples is known as the sample distribution of the mean.
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The principles of simple random sampling are the theoretical foundation for statistical inference.
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The standard error of the mean is the standard deviation of the distribution of sample means.
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A sampling plan that divides the population into well - defined groups from which random samples are drawn is known as cluster sampling.
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With increasing sample size, the sampling distribution of the mean approaches normality, regardless of the distribution of the population.

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