DOC PREVIEW
VCU STAT 210 - Exam 1 Study Guide

This preview shows page 1-2 out of 5 pages.

Save
View full document
View full document
Premium Document
Do you want full access? Go Premium and unlock all 5 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 5 pages.
Access to all documents
Download any document
Ad free experience
Premium Document
Do you want full access? Go Premium and unlock all 5 pages.
Access to all documents
Download any document
Ad free experience

Unformatted text preview:

StatisticsPopulationParameterSampleStatisticInferenceDistributionDescriptive StatisticsInferential StatisticsReplication/RepetitionConstantVariableQualitative or Categorical VariableQuantitative VariableDiscrete Quantitative VariableContinuous Quantitative VariableLecture 2 (August 27)Representative SampleBiasSelection BiasNonresponse BiasResponse BiasHaphazard SamplesVolunteer Response SamplesRandom SamplesLecture 3 (August 29)Simple Random SamplingStratified Random SamplingLecture 4 (September 3)Experimental UnitsTreatmentResponseTreatment Group(s)Control GroupPlaceboBlindingDouble-BlindingConfoundingSTAT 210 1nd EditionExam # 1 Study Guide Lectures: 1 - 4Lecture 1 (August 25)StatisticsScience involving the extraction of information from numerical data collected from an experiment or sample. Populationthe whole group of individuals which the researcher wants information about.ParameterA characteristic of the population that a researcher wants to measure. Typically denoted with Greek letters.SampleA subset of the population that information is gathered from.StatisticA measure calculated from data in a sample that is expressed numerically. Typically denoted with symbols from regular English letters.InferenceA statement about a population based on the data collected in a sample.DistributionA list of all possible values a characteristic can have and the number of times each value occurs.Descriptive StatisticsBranch of statistics dealing with ways to describe a characteristic of a population numerically or graphically and ways to compare characteristics. Inferential StatisticsBranch of statistics in which data and statistics are calculated from a sample to make statements about a population. Replication/Repetitionrepeated measurementsConstantA characteristic whose measurements do not change when the trials are repeated.VariableA characteristic whose measurements change when trials are repeated. Qualitative or Categorical VariableA variable whose measurements do not vary in degree, only in kind or name. Quantitative VariableA variable whose measurements vary in magnitude when trials are repeated.Discrete Quantitative VariableA quantitative variable whose measurements can infer only a few possible values.Continuous Quantitative VariableA quantitative variable whose measurements can infer many values in a line interval. Usually ameasurable quantity or calculation, like rates or percentages.Lecture 2 (August 27)Representative SampleCharacteristics of the sample mimic the characteristics of the population.BiasExists when certain subjects/outcomes are favored over others.Selection BiasOccurs when one/several types of subjects are systematically excluded from the sample.Nonresponse BiasWhen someone is randomly chosen to be a part of a sample and fails/refuses to respond or cannot be contacted. Response BiasWhen respondents give false information or if the interviewer influences the individual’s response to questions asked. Haphazard SamplesWhen a sample is collected by some sort of convenient mechanism that does not involve randomization.Volunteer Response SamplesWhen subjects volunteer to take part in a study and their responses are often strongly opinionated (most often negatively opinionated). Random SamplesSamples in which the subjects are chosen randomly.Lecture 3 (August 29)Simple Random SamplingMake a list of all individuals in the population and randomly choose a certain amount (“n”) of the subjects in a way that every set of the certain amount of subjects (“n”) has the same chance of being selected for the sample.Stratified Random SamplingPopulation split into two (or more) groups of like subjects (called strata). Simple random samples then selected from each stratum and combined.Lecture 4 (September 3)Experimental Unitsthe unit of which measurements are made.TreatmentWhat is applied to experimental unitsResponseWhat is measured for each experimental unitTreatment Group(s)Unit(s) that receive the treatment(s)Control Groupunits who do not receive the treatment and instead receive a fake treatment or no treatmentPlaceboa fake treatment given to the control group to maintain blindness BlindingWhen experimental units do not know to which group they belong to.Double-BlindingWhen the experimenters and experimental units do not know to which group they belong.ConfoundingWhen some factor makes the treatment and control groups


View Full Document

VCU STAT 210 - Exam 1 Study Guide

Download Exam 1 Study Guide
Our administrator received your request to download this document. We will send you the file to your email shortly.
Loading Unlocking...
Login

Join to view Exam 1 Study Guide and access 3M+ class-specific study document.

or
We will never post anything without your permission.
Don't have an account?
Sign Up

Join to view Exam 1 Study Guide 2 2 and access 3M+ class-specific study document.

or

By creating an account you agree to our Privacy Policy and Terms Of Use

Already a member?