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In simple random sampling with replacement, every member can be selected more than once.
In simple random sampling with replacement, every member can be selected more than once.
True
Stratified random sampling divides the population into overlapping subgroups called strata.
Stratified random sampling divides the population into overlapping subgroups called strata.
False
A statistical model describes the whole population, while a statistic describes a sample of the population.
A statistical model describes the whole population, while a statistic describes a sample of the population.
True
Systematic sampling selects every nth observation unit from the sampling frame.
Systematic sampling selects every nth observation unit from the sampling frame.
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Probability sampling assumes that every element of the target population has an equal chance of being selected in the sample.
Probability sampling assumes that every element of the target population has an equal chance of being selected in the sample.
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A parameter is a function of a random sample, while a statistic is a constant that describes the whole population.
A parameter is a function of a random sample, while a statistic is a constant that describes the whole population.
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