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AP Statistics (POD 2) Flashcards

Ch. 2 - Collecting Data Sensibly.
An Introduction to Statistics and Data Analysis

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6009303203Observational StudyInvestigator observes characteristics of a subset an existing population(s) to draw conclusions relating to the differences between two or more populations.0
6009303204SurveyInterviewer seeks information from a respondent by engaging in a special type of conversation1
6009303205ExperimentInvestigator observes how a response variable behaves when other explanatory variables (aka factors) are manipulated; factors should be determined by random assignment.2
6009303206FactorsAnother name for the variables that researchers manipulate to create experimental conditions.3
6009303207Confounding VariableA variable whose effect on the response variable cannot be distinguished from the effects of the treatment; if one is present it is impossible to draw cause and effect conclusions4
6009303208Random SamplingTechnique that allows every member of a population an equal probability of being selected for the sample; allows generalizations from a sample to a population.5
6009303209CensusData is collected on every member of a population6
6009303210Selection BiasA sample systematically excludes part of the population of interest; also called undercoverage7
6009303211Measurement BiasObserved values systematically differ from the actual values; may occur due to improper calibration or leading surveying questions or techniques; also known as response bias8
6009303212Nonresponse BiasResponses are not obtained from all individuals selected for inclusion in a sample; limited when the response rate is high and/or serious efforts to follow up with non-respondents are used9
6009303213Simple Random Sample (SRS)Sample chosen using a method that ensures that each different possible SAMPLE of the desired SIZE has an equal chance of being chosen10
6009303214Sampling FrameA list that is used to select a random sample; typically a random number table or generator is used to select the sample.11
6009303215Sampling with ReplacementIndividuals can potentially be selected more than one time since they are returned to the pool of potential subjects after each selection12
6009303216Sampling without ReplacementIndividuals can only be selected once since they are not returned to the pool of potential subjects after each selection13
6009303217Stratified SamplingA method of dividing a population into non-overlapping homogenous subgroups and then selecting a SRS from EACH subgroup14
6009303218Cluster SamplingA method dividing a population into non-overlapping heterogeneous subgroups and then random selecting entire subgroups; used to save time and money15
6009303219Systematic SamplingA procedure that selects one of the first k individuals at random and then every k-th individual in the sequence is included in the sample; list of items must contain no repeating patterns16
6009303220Voluntary Response SamplingSample suffers from selection bias because only people with strong opinions choose to participate in the survey17
6009303221Convenience SamplingSample suffers from selection bias because subjects are chosen without regard to whether they are representative of a population18
6009303222Experimental ConditionAny particular combination of values for the explanatory variables; aka a treatment19
6009303223DesignThe overall plan for conducting an experiment; should limit confounding variables and extraneous factors to achieve conclusive results20
6009303224Extraneous FactorA variable that is not of interest in the current study but is thought to affect the response variable.21
6009303225BlockingFilters out extraneous factors , by creating subgroups that are homogenous with respect to those factors, and then randomly assigns subjects from each subgroup to all treatment and/or control groups22
6009303226ConfoundedWhen two or more factors effects on the response varaible cannot be distinguished from one another.23
6009303227BlocksHomogenous subgroups used to ensure that all experimental groups are similar in regards to one or more extraneous factor(s)24
6009303228RandomizationUsed to ensure extraneous factors that can not be controlled through blocking or direct control are equally likely to occur in any experimental group25
6009303229ReplicationThe design strategy of making multiple observations for each experimental condition.26
6009303230Control GroupThe group in an experiment that does not receive the experimental treatment; receives either the current standard treatment or no treatment at all27
6009303231PlaceboAn object that is identical in appearance, taste, feel etc. to the treatment received by the treatment group, except that it contains no active ingredients.28
6009303232Placebo effectExperimental results caused by expectations alone; any effect on behavior caused by the administration of an inert condition, which is assumed to be an active agent29
6009303233Single BlindAn experiment in which subjects do not know the treatment that they have received but the individuals measuring the response do know or occasionally vice-versa.30
6009303234Double BlindAn experiment where neither the subjects or the individuals who measure the response know which treatment was received.31
6009303235Experimental UnitThe smallest unit to which the treatments (which are assigned at random) are applied.32
6009565854StrataHomogenous subgroups used to ensure that all characteristics of a population are represented by a random sample33
6009755425Direct ControlFilters out extraneous factors by ensuring that experimental conditions are constant for all subjects in regard to these factors34

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