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27 Cards in this Set

  • Front
  • Back

collects data from every individual in a population

census

group of people who you want information from

population



selects a sample from the population of all individuals in which we desire information from

sample survey

drawing conclusions about the population based on data from the sample

inference



choosing individuals who are easiest to reach

convenience sample



individuals choose to join the sample in response to an open invitation

voluntary response

using chance to select a sample

random sampling



every possible sample of a given size has the same chance to be selected.

SRS

dividing the population into strata then finding a SRS

Stratified random sample

dividing the population into groups located near one another then finding an SRS

cluster sample



when some members of a population cannot be reached

undercoverage

when people can't be contacted or refuse to answer

nonresponse

incorrect answers by respondents can lead to

response bias

has a big influence on answers

wording of questions

gathers data on individuals as they are

observational study

actively do something to people in order to measure their response

experiment

when a variables effect on a response variable can't be distinguished from each other

confounded

sometimes called subjects if humans, we impose treatments on a group of

experimental units

a combination of all the explanatory variables

factors

all of the experimental units are assigned to the treatments by chance

completely randomized design

fake treatment

placebo

some patients get better because they expect the treatment to work

placebo effect

neither the subjects nor those interacting with them and measuring their responses know who is receiving treatment

double- blind

if one party knows and the other doesn't

single- blind

when an observed difference in responses between the groups in an experiment is too large to be explained by chance variation in the random assignment

statistically significant

forms groups or blocks of experimental units that are similar with respect to a variable that is expected to effect the response

randomized block design

common form of blocking for comparing just 2 treatments

matched pairs design