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AP Stats-Chapter 4 Flashcards

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5831596997populationthe entire group of individuals we want information about0
5831598243samplea subset of individuals in the population from which we actually collect data1
5831601857convenience sampleA sample which consists of members of a population that are easily accessed.2
5831603879biaswhen a design of a statistical study consistently underestimates or consistently overestimates the value you want to know3
5831612779voluntary response samplesample that consists of people who choose themselves by responding to a general invitation4
5831615974random samplinginvolves using a chance process to determine which members of a population are included in the sample5
5831624791simple random sampling (SRS)a sample completed in a way that every sample of size n has an equal chance of being selected6
5831637676stratified random samplestart by classifying the population into groups of similar individuals, then choose a separate SRS in each group, finally combine these SRSs to form the sample7
5831643025strataa group of similar individuals8
5831643591cluster samplestart by classifying the population into groups of individuals that are located near each other, then choose an SRS of these groups, all individuals in the chosen groups are included in the sample9
5831648311clustergroup of individuals that are located near each other10
5831649845inferencethe process of drawing conclusions about a population on the basis of sample data11
5831653685undercoverageoccurs when some members of the population cannot be chosen in a sample, for example a survey of households will miss homeless people, prison inmates, and students living in dorms12
5831660861nonresponseoccurs when an individual chosen for the sample can't be contacted or refuses to participate; for example a survey of households will miss people screening calls in an effort to not be bothered13
5831688360response biasincorrect answers by respondents can lead to this type of bias14
5831689971wording of questions biasthe written way a sample survey is given that influences the answers of individuals15
5831704271observational studyobserves individuals and measures variables of interest but does not attempt to influence the responses16
5831707574experimentdeliberately imposes some treatment on individuals to measure their responses17
5831712407confoundingoccurs when two variables are associated in such a way that their effects on a response variable cannot be distinguished from each other18
5831715240treatmenta specific condition applied to the individuals in an experiment19
5831716817experimental unitsthe smallest collection of individuals to which treatments are applied, when the units are humans, they are called subjects20
5831722083random assignmentin an experiment, the experimental units are assigned to treatments using a chance process21
5831724222completely randomized designa experimental design where the experimental units are assigned to the treatments completely by chance22
5831727372double-blind experimentneither the subjects nor those who interact with them and measure the response variable know which treatment a subject received23
5831729264statistically significantan observed effect so large that it would rarely occur by chance24
5831734165blockinga group of experimental units that are known before the experiment to be similar in some way that is expected to affect the response to the treatments25
5831738588randomized block designan experimental design where the random assignment of experimental units to treatments is carried out separately within each block26
5831744096matched pairs designcommon type of randomized block design for comparing two treatments by matching pairs of similar experimental units27
5831750388Controlkeeps as many other variables as possible the same for all groups, helps avoid confounding, reduces the variation in responses28
5831752838placeboalso known as a "fake" treatment29
5831756860inference about the populationif individuals are randomly assigned to groups we can make this inference30
5831758851inference about cause and effectif individuals are randomly selected we can make this inference31

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