AP Statistics Vocabulary Chapter 12 - Sample Surveys

Population

the entire group of individuals or instances about whom we hope to learn

Sample

a (representative) subset of a population, examined in hope of learning about the population

Sample Survey

a study that asks questions of a sample drawn from some population in the hope of learning about the entire population; Polls taken to assess voter preferences are common these

Bias

any systematic failure of a sampling method to represent its population is this; These sampling methods tend to over-or underestimate parameters; It is almost impossible to recover from this, so efforts to avoid it are well spent

Randomization

the best defense against bias is this, in which each individual is given a fair, random chance of selection

Sample size

the number of individuals in a sample; Determines how well the sample represents the population, not the fraction of the population sampled

Census

a sample that consists of the entire population

Population parmeter

a numerically valued attribute of a model for a population.

Statistic

values calculated for sampled data

Representative

if the statistics computed from the sample accurately reflect the corresponding population parameters

Simple Random Sample SRS

this of sample size n is a sample in which each set of n elements in the population has an equal chance of selection

Sampling Frame

a list of individuals from which the sample is drawn

Sampling variability

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

Stratified random sampling

population is divided into subpopulations, or strata, and random samples are then drawn from each stratum; Best if strata are homogeneous, but different from each other

Cluster sampling

entire groups, or cluster, are chosen at random. Selected as a matter of convenience, practicality, or cost; Clusters should be representative of the population, and therefore heterogeneous and similar to each other

Multistage sampling

combine several different types of sampling methods

Systematic sample

individuals are selected systematically from a sampling frame. first number must be random; ex: every 10th person

Pilot

a small trial run

Voluntary Response Bias

individuals can choose on their own whether or not to participate in the sample

Convenience Sample

taken from individuals who are conveniently available

Undercoverage

part of population is less represented

Nonresponse bias

large fraction of those sampled fail to respond; those who respond are not likely to represent the whole population; ex: telephone survey

Response bias

the word of questions that influences a responders answer; ex: "How to you feel about the cost cuts to local zoos that are making animals starve to death?