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Chapter 1 Definitions

AB
QualitativeNonnumerical observations
QuantitativeNumerical measurements
PopulationThe variable is from every individual of interest.
SampleThe variable is from only some of the individuals of interest.
Sampling with replacementAlthough a number is selected for the sample, it is not removed from the population.
ExperimentsDeliberately imposing some treatment on units or subjects in order to observe a given reponse.
SimulationAn arithmetic imitation of a real situation.
CensusWhen measurements from the entire population are used.
SurveysA way of gathering data by asking people questions.
Hidden biasNot actually measuring what you hoped to measure.
Generalizing resultsWhen researchers apply their findings to a situation wider than that of the actual data setting.
Nominal levelData the consists of names, labels or categories.
Ordinal levelData arranged in some order.
Interval levelMeaningful differences between data values can be computed.
StatisticsStudy of how to collect, analyze, and interpret numerical information from data.
IndividualsPeople or objects included in a study.
VariableThe characteristic of the individual to be measured or observed.
Ratio LevelData that can be arranged in order, are meaningful and have a true zero.
Descriptive StatisticsInvolves methods of organizing, picturing and summarizing information from samples or populations.
Inferential StatisticsInvolves methods of using information from a sample to draw conclusions regarding the population.
Simple random sampleA subset of a population that has all members having an equal chance of being selected.
Random number tableA table used to help create a simple random sample from data.
Stratified samplingA sampling technique in which the entire population is divided into distinct subgroups based on specific characteristics.
Systematic samplingA sampling technique in which members of the population are sequentially numbered.
Cluster samplingA sampling technique in which the entire population is divided into pre-existing segments.
Convenience samplingA sampling technique in which data are used from population members that are readily available.
Observational studyMeasurements of individuals are conducted ina way that doesn't change the response or the variable being measured.
PlaceboWhen a subject receives no treatment, but believes in fact they have been.
Double-blind experimentMeans that neither the individual nor the observers know which subjects are receiving the treatments.
Control groupThe group that receives the dummy treatment.
RandomizationUsed to assign individuals to the treatment groups to help prevent bias.
NonresponseWhen selected respondents cannot be contacted or refuse to respond.
Voluntary responseOften overrepresent people with strong opinions.
ReplicationHelps to reduce the possibility that the differences in change occurred by chance alone.
Lurking variablesKnown or unknown variables that might be an underlying cause of change in the response of the group.


Susan Briska

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