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Lecture

Inferential statistics, Chapter 9 Salkind

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Department
Nursing
Course
NUR 80A/B
Professor
L.Atack
Semester
Winter

Description
Week 5 Inferential StatisticWednesday February 16 20111131 AMReadings Salkind Chapter 9Descriptive StatsUsed to organize and describe characteristics of a collection of dataFrequency distributionsMeasures of central tendencyvariabilityContingency tablesInferentialStatsOften next step after data has been summarizedBased on laws of probability and sampling distributionsUsed to make inferencesfrom a small group sample to a larger group populationWe estimate population parametersfrom sample statisticsEven with random sampling characteristics often are not identical to population therefore sampling error occursResearchers must decide whether sample values stats are good estimate of population parametersResearcher must determine the likelihood probabilitythat this mean reflects the actual values of the populationProvide objective measuresresearchers can compare study findings with to determine the probabilitythat their findings occurred by chance aloneEstimation of parameters1Used to estimate a single parameterPoint estimation a single statisticaInterval estimation a range of values within which the parameter has a specific probability of lyingbHypothesis testing2Research
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