RandommechanismA resource usedto select theobservationalunits to beincluded in thesampleBiasAny systematicfailure of asamplingmethod torepresent itspopulationNonresponsebiasBias introducedwhen a largefraction ofthose sampledfails to respondSamplingframeA list ofindividualsfrom whomthe sampleis drawnPopulationThe entiregroup ofindividuals orinstances aboutwhom we hopeto learnConveniencesamplesampleconsists of theindividuals whoareconvenientlyavailableSamplingwithoutreplacementA sample thatdoesn’t end upincluding the sameobservational unitmore than once inyour sampleClustersampleA sample inwhich entiregroups, arechosen atrandom forconvenienceSimplerandomsampleA sample inwhich each set ofn elements in thepopulation has anequal chance ofselectionSampleA(representative)subset of apopulationSamplesurveyAsksquestions of asample drawnfrom somepopulationParameterA numericallyvaluedattribute of amodel for apopulationRandomizationEach individualis given a fair,randomchance ofselectionStatisticValuescalculatedfor sampleddataSamplingvariabilityThe naturaltendency ofrandomlydrawn samplesto differ, onefrom another.SystematicsampleA sample drawnby selectingindividualssystematicallyfrom a samplingframeVoluntaryresponsebiasintroduced to asample whenindividuals canchoose on theirown whether toparticipate in thesampleSamplingwithreplacementSelecting eachobservation unit in yoursample from the fullpopulation, eventhough that means youmight end up includingthe same observationalunit more than once inyour sampleCensusConsistsof theentirepopulationStratifiedrandomsampleA sampledrawn from thepopulation afterit is divided intoseveralsubpopulationsSamplesizeThenumber ofindividualsin a sampleRepresentativeThis is if thestatistics computedfrom sampleaccurately reflectthe correspondingpopulationparametersResponsebiasAnything in asurveydesign thatinfluencesresponsesUndercoverageA sampling schemethat biases thesample in a way thatgives a part of thepopulation lessrepresentation than ithas in the populationRandommechanismA resource usedto select theobservationalunits to beincluded in thesampleBiasAny systematicfailure of asamplingmethod torepresent itspopulationNonresponsebiasBias introducedwhen a largefraction ofthose sampledfails to respondSamplingframeA list ofindividualsfrom whomthe sampleis drawnPopulationThe entiregroup ofindividuals orinstances aboutwhom we hopeto learnConveniencesamplesampleconsists of theindividuals whoareconvenientlyavailableSamplingwithoutreplacementA sample thatdoesn’t end upincluding the sameobservational unitmore than once inyour sampleClustersampleA sample inwhich entiregroups, arechosen atrandom forconvenienceSimplerandomsampleA sample inwhich each set ofn elements in thepopulation has anequal chance ofselectionSampleA(representative)subset of apopulationSamplesurveyAsksquestions of asample drawnfrom somepopulationParameterA numericallyvaluedattribute of amodel for apopulationRandomizationEach individualis given a fair,randomchance ofselectionStatisticValuescalculatedfor sampleddataSamplingvariabilityThe naturaltendency ofrandomlydrawn samplesto differ, onefrom another.SystematicsampleA sample drawnby selectingindividualssystematicallyfrom a samplingframeVoluntaryresponsebiasintroduced to asample whenindividuals canchoose on theirown whether toparticipate in thesampleSamplingwithreplacementSelecting eachobservation unit in yoursample from the fullpopulation, eventhough that means youmight end up includingthe same observationalunit more than once inyour sampleCensusConsistsof theentirepopulationStratifiedrandomsampleA sampledrawn from thepopulation afterit is divided intoseveralsubpopulationsSamplesizeThenumber ofindividualsin a sampleRepresentativeThis is if thestatistics computedfrom sampleaccurately reflectthe correspondingpopulationparametersResponsebiasAnything in asurveydesign thatinfluencesresponsesUndercoverageA sampling schemethat biases thesample in a way thatgives a part of thepopulation lessrepresentation than ithas in the population

Chapter 6 Vocabulary - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. A resource used to select the observational units to be included in the sample
    Random mechanism
  2. Any systematic failure of a sampling method to represent its population
    Bias
  3. Bias introduced when a large fraction of those sampled fails to respond
    Nonresponse bias
  4. A list of individuals from whom the sample is drawn
    Sampling frame
  5. The entire group of individuals or instances about whom we hope to learn
    Population
  6. sample consists of the individuals who are conveniently available
    Convenience sample
  7. A sample that doesn’t end up including the same observational unit more than once in your sample
    Sampling without replacement
  8. A sample in which entire groups, are chosen at random for convenience
    Cluster sample
  9. A sample in which each set of n elements in the population has an equal chance of selection
    Simple random sample
  10. A (representative) subset of a population
    Sample
  11. Asks questions of a sample drawn from some population
    Sample survey
  12. A numerically valued attribute of a model for a population
    Parameter
  13. Each individual is given a fair, random chance of selection
    Randomization
  14. Values calculated for sampled data
    Statistic
  15. The natural tendency of randomly drawn samples to differ, one from another.
    Sampling variability
  16. A sample drawn by selecting individuals systematically from a sampling frame
    Systematic sample
  17. introduced to a sample when individuals can choose on their own whether to participate in the sample
    Voluntary response bias
  18. Selecting each observation unit in your sample from the full population, even though that means you might end up including the same observational unit more than once in your sample
    Sampling with replacement
  19. Consists of the entire population
    Census
  20. A sample drawn from the population after it is divided into several subpopulations
    Stratified random sample
  21. The number of individuals in a sample
    Sample size
  22. This is if the statistics computed from sample accurately reflect the corresponding population parameters
    Representative
  23. Anything in a survey design that influences responses
    Response bias
  24. A sampling scheme that biases the sample in a way that gives a part of the population less representation than it has in the population
    Undercoverage