Chapter 10 - Sample Surverys Vocabulary

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Elementary Statistics & Inference

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20 Terms

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Stratified Random Samples

The population is divided into several subpopulations, and then random samples are drawn from each of these subpopulations.

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Cluster Samples

A sampling design in which entire groups are chosen at random.

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Systematic Samples

A sample drawn from selecting individuals from an organized sampling frame. 

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Multistage Samples

A type of random sampling that combines several sampling methods.

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Voluntary Response Samples

A sample in which individuals can choose on their own whether or not to participate.

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Convienence Samples

These samples consist of individuals who are readily available for assessment. 

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Undercoverage

A sampling example that samples in a way that gives part of the population less representation in the sample than it has in the population. 

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Nonresponse Bias

Bias is introduced when a large fraction of those samples fail to respond.

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Response Bias

Anything in a survey design that influences responses falls under this bias. This could be things such as the wording of the question or favoring one response.

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Population

The ENTIRE group of individuals or instances about whom we hope to learn.

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Sample

A (representative) subset of a population.

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Sample Survey

A study that asks questions of a sample drawn from some population in the gope of learning something about the entire population. 

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Bias

Any systematic failure of a sampling method to represent its population.

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Randomization

Each individual or instance is given a fair, random chance of selection.

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Sample Size

The numbers of individuals in a sample.

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Population Parameter

A numerically valued attribute of a model for a population.

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Statistic, sample statistic

Values calculated from sampled data.

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Representative

A sample is said to be this if the statistics computed from it accurately reflect the corresponding population parameters.

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Simple Random Sample (SRS)

A sample in which each set of n elements in the population has an equal chance of selection.

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Sampling Variability

The natural tendency of randomly drawn samples to differ, one from another.