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Chapter 3: Collecting Data

Horizontales
deliberately imposes some treatment on individuals to measure their responses
the smallest collection of individuals to which treatments are randomly assigned
choosing individuals from the population who are easy to reach
a group used to provide a baseline for comparing the effects of other treatments
occurs when two variables are associated in such a way that their effects on a response variable cannot be distinguished from each other
different random samples of the same size from the same population produce different estimates
describes how far, at most, we expect the estimate to vary from the true population value
occurs when there is a consistent pattern of inaccurate responses to a survey question
means that experimental units are assigned to treatments using a chance process
collects data from every individual in the population
involves using a chance process to determine which members of a population are included in the sample
describes the fact that some subjects in an experiment will respond favorably to any treatment, even an inactive treatment
Verticales
occurs when some members of the population are less likely to be chosen or cannot be chosen for the sample
observes individuals and measures variables of interest, but does not attempt to influence the responses
is a treatment that has no active ingredient, but is otherwise like other treatments
sample consists of people who choose to be in the sample by responding to a general invitation
in a statistical study it is the entire group of individuals we want information about
is a specific condition applied to the individuals in an experiment
consistently underestimate or consistently overestimate the value you want to know when the study is repeated many times
a subset of individuals in the population from which we collect data