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AP Stats Unit 2 Q1

QuestionAnswer
Large group is invited to respond and only those who answer are counted. Voluntary Response (not random)
Population entire group being studied
sample a subset of the population
sample frame list of individuals from which the sample is drawn
a sample is chosen because they are easy to obtain convenience sampling (not random)
a question is worded in a way that will elicit a false answer response bias (randomly selected)
Biased a sample that is not representative of the entire population
individuals who cannot respond differ from the population in ways that affect their response nonresponse bias
when some portion of the population is not sampled or has a smaller representation under coverage bias
undbiased sampling method that accurately represents the entire population
census sample of the entire population 1. difficult to locate 2. time consuming 3. costly 4. double count or miss people
Simple Random Sample (SRS) a sample where every person in the population has an equal chance of being selected
Stratafied random sample population is divided into homogeneous groups and then a sample is selected randomly from those groups
cluster random sample population is divided into heterogeneous groups and then random groups are selected and ALL members are sampled
Systematic random sample a sample is chosen by selecting systematically every nth person
multistage combination of all types of random sampling
survey polls designed to ask questions of a small group of people in hopes of learning something about the entire population
pilot test run of a survey
observational study a study where NO change or treatment is assigned
experiment a study in which an investigator imposes a change or treatment to a group to show cause and effect
4 principles of experimental design 1. Comparison: compare 2+ treatments (sometimes a control group) to determine effectiveness 2. Control: control all variables except what is being tested 3. Randomize: random assignments help reduce bias 4. replicate: multiple times or large sample
Blinding a way to hide the treatment that is being tested
single blind when participants don't know if they are in the control group or not
double blind when the participants and the assigner both don't know who is in the control group or the treatment group
placebo fake treatment that should not have an effect on the sibjects
placebo effect assigned a fake treatment and get real results
lurking variables a variable with an important effect on the relations of the variables but is not a variable being studied (randomization helps limit these)
confounding variables variables whose effect on the response variable cannot be distinguished from one or more of the explanatory variables in the study (blinding helps eliminate these)
Created by: nylaarmbruster28
 

 



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