A Brief Quiz on Chapter 11
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1Random sampling is completed so that any errors are accidental and not systematic.

2Sampling error consists of mistakes researchers make when securing a sample from the population.

3Cluster samples are defined based on the known proportions within the population and random sampling is completed within each group.

4A random sample is one that accurately reflects characteristics of the population from which it was drawn.

5When small samples are used, only very big effects stand out from background variation.

6Known group sampling selects events based on referrals from initial informants.

7If a research article announces that random sampling is used, it is a safe conclusion that proper protocols were satisfied for this sort of sampling.

8For studies attempting to validate new measurement instruments, a sample size of at least 30 is sufficient.

9A confidence interval reveals the probability that sample statistics "capture" population parameters, within certain margins for error.

10Sampling error can be computed for both probability and nonprobability sampling methods.

11If random assignment to experimental and control conditions is employed, samples of volunteers provide reactions that represent the population.