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AP Statistics - Chapter 4 Flashcards

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5176096920PopulationThe entire group of individuals about which we want information0
5176096921SampleThe part of the population from which we actually collect information. We use this info to draw conclusions about the entire population.1
5176096922Sample SurveyA survey which is carried out using a sampling method, i.e. in which a portion only, and not the whole population is surveyed.2
5176096923Convenience SampleChoosing individuals who are easiest to reach...almost guaranteed to show bias.3
5176096924BiasUsing a method that will consistently overestimate or underestimate the value you want to know. This design of a statistical study systematically favors certain outcomes.4
5176096925Voluntary Response SampleConsists of people who choose themselves by responding to a general appeal. Show bias because people with strong opnions are the most likely to respond.5
5176096926Random SamplingUse of chance to select a sample. This is the central principle of statistical sampling.6
5176096927Simple Random Sample (SRS)The simplest way to use chance to select a sample e.g. place names in a hat and draw names. Consists of size (n) of (n) individuals from the population chosen in such a way that every set of (n) individuals has an equal chance to be the sample actually selected.7
5176096928Table of Random DigitsA long string of the digits 0, 1,2,3,4,5,6,7,8,9 with the following properties: 1) Each entry in the table is equally likely to be any of the 10 digits 0 thru 9. 2) The entries are independent of each other..Knowledge of one part of the table gives no info about any other part.8
5176096929Stratified Random SampleClassify the population into homogeneous groups and then choose a separate SRS in each group and combine to form a full sample.9
5176096930Cluster SampleClassify the population into heterogeneous groups and then choose a SRS of some of of the groups, using every individual in the selected groups.10
5176096931InferenceThe process of drawing conclusions about a population on the bais of sample data11
5176096932Margin of ErrorAn amount (usually small) that is allowed for in case of miscalculation or change of circumstances.12
5176096933Sampling FrameList of individuals from which a sample is drawn.13
5176096934UndercoverageOccurs when some groups in the population are left out of the process of choosing the sample.14
5176096935NonresponseOccurs when an idividual chosen for the sample can't be contacted or refuses to participate. It is the single biggest problem for sample surveys.15
5176096936Response BiasCaused by a systematic pattern of incorrect responses in a sample survey16
5176096937Observational StudyA sample survey where individuals are observed and variables of interest are measured w/o an attempt to influence the response.17
5176096938ExperimentDeliberately imposes some treatment on individuals to measure their responses. They are the only source of fully convincing data when your goal is to understand cause and effect.18
5176096939Response VariableMeasures the outcome of a study19
5176096940Lurking VariableA variable that is not among the explanatory or response variables in a study but may influence the response variable.20
5176096941ConfoundingOccurs when 2 variables are associated in such a way that their effects on a response variable cannot be distinguished from each other.21
5176096942TreatmentA specific condition applied to the individuals in an experiment.22
5176096943Experimental UnitsSmallest collection of individuals to which treatments are applied. If human, they are called subjects.23
5176096944FactorsThe explanatory variables in an experiment24
5176096945Comparative ExperimentCompare 2 or more treatments25
5176096946Random AssignmentExperimental units are assigned to treatments at random, using some sort of chance process26
5176096947Completely Randomized DesignTreatments are assigned to all experimental units completely by chance27
5176096948Control GroupProvides a baseline for comparing the effects of the other treatments.28
5176096949What are the 3 principles of Experimental Design?1) Control 2) Randomization 3) Replication29
5176096950ReplicationUsing enough experimental units to distinguish a difference in the effects of the treatments from chance variation.30
5176096951PlaceboDoes not have an active ingredient...e.g. sugar pill31
5176096952Placebo EffectA fake treatment that results in subjects reporting a response expected from the real treatment32
5176096953Double-BlindNeither the subjects or those who interact with them and measure the response variable know which treament the subject received33
5176096954Single BlindOne side is blind - either the subject or the researcher. The researchers taking measurements do not know if the subject is in the control or treatment group OR the subject does not know34
5176096955Statistically SignificantAn observed effect so large that it would rarely occur by chance35
5176096956BlockingA form of control. Grouping similar experimental units together that are know before the experiment to be similar in some way and expected to affect the response to treatments36
5176096957Randomized Block DesignReduces the effect of variation among experimental units. e.g. separate laundry into white and color then randomly assign 1/2 of each block to be washed in hot or cold water.37
5176096958Matched Pairs DesignA common type of randomized block design for comparing 2 treatments. In some matched pairs design, each subject receives both treatments in a random order. In others, subjects are matched up in pairs as closely as possible and each subject in the pair receives one of the treatments.38

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