AP Stats Chapter 4 Vocab

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29 Terms

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Population

entire group of individuals we want info about

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Census

collects data from every individual in the population

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Sample

subset of individuals in the population from which we collect data

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Sample survey

a study that collects data from a sample that is chosen to represent a specific population

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Convenience sampling

selects individuals from a population who are easy to reach

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Bias

likely to underestimate or overestimate the value you want to know

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Voluntary response sampling

allows people to choose to be in the sample by responding to a general invitation

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Undercoverage

random sampling from the wrong group

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Simple random sample (SRS)

SRS of size n is chosen in such a way that every group of n individuals in the population has an equal chance to be selected as the sample

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Observational Study

observes individuals and measures variables of interest but does not attempt to influence the responses

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Response Variable

measures an outcome of a study

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Explanatory Variable

helps explain or predict changes in a response variable

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Confounding

occurs when two variables are associated in such a way that their effects on a response variable cannot be distinguished from each other

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Experiment

deliberately imposes some treatment on individuals to measure their responses

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Placebo

treatment that has no active ingredient, but is otherwise like other treatments

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Treatment

specific condition applied to individuals in an experiment

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Experimental unit

object to which a treatment is randomly assigned

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Subject

human experimental unit

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Factor

a variable that is manipulated and may cause a change in the response variable

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Levels

different values of a factor

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Control group

used to provide a baseline for comparing the effects of other treatments

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Placebo effect

describes the fact that some subjects in an experiment will respond favorably to any treatment, even an inactive treatment

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Double-blind experiment

neither the subjects nor those who interact with them and measure the response variable know which treatment a subject received

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Single-blind experiment

either the subjects don't know which treatment they are receiving or the people who interact with them and measure the response variable don't know which subjects are receiving which treatment

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Sampling variability

the natural difference in results you get when you take multiple samples from the same population

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block

group of experimental units that are similar

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Randomized block design

separate subjects into blocks and then randomly assign treatment within each block

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Matched pairs design

subjects are paired (block size of 2) and then randomly assigned to a treatment

(Each subject receives two treatments order of treatments must be randomized)

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Statistical Significance

the results of a study are statistically significant if they are very unlikely to happen just by chance