### Estimation from Sample Data ppt课件介绍及下载

Estimation from Sample Data ppt课件内容预览：Construct and interpret confidence intervals:with a z for the population mean or proportion.with a t for the population mean.Determine appropriate sample size to achieve specified levels of accuracy and confidence.Chapter 9- KeyTermsUnbiased estimatorPoint estimatesInterval estimatesInterval limitsConfidence coefficientConfidence levelAccuracyDegrees of freedom (df)Maximum likely sampling errorUnbiased PointEstimatespptPopulation SampleParameter StatisticFormulaMean,μVariance,s2Proportion,pConfidence Interval:μ,sKnownwhere =sample meanASSUMPTION:s =population standard infinite populationdeviationn =sample sizez =standard normal scorefor area in tail =a2where =sample meanASSUMPTION:s =sample standardPopulationdeviation approximatelyn =sample size normal andt =t-score for area infinitein tail =a2df =n –1Confidence Interval:μ,sUnknownConfidence Interval on pnnzzz0–:+Converting Confidence Intervals to Accommodate a FinitePopulationMean:orProportion:Interpretation of ConfidenceIntervalsRepeated samples of size n taken from the same population will generate (1–a)16035730f the time a sample statistic that falls within the stated confidence interval.ORWe can be (1–a)爋nfident that the population parameter falls within the stated confidence interval.Sample Size Determination for μfrom an InfinitePopulationMean: Note s is known and e,the bound within which you want to estimate μ,is given.The interval half-width is e,also called the maximum likely error:Solving for n,we find:Sample Size Determination for μfrom a FinitePopulationMean: Note s is known and e,the bound within which you want to estimate μ,is given.where n =required sample sizeN=population sizez =z-score for (1–a)(onfidenceSample Size Determination for p from an InfinitePopulationProportion: Note e,the bound within which you want to estimate p,is given.The interval half-width is e,also called the maximum likely error:Solving for n,we find:Sample Size Determination for p from a FinitePopulationMean: Note e,the bound within which you want to estimate μ,is given.where n =required sample sizeN=population sizez =z-score for (1–a)xonfidencep =sample estimator of pAn Example: ConfidenceIntervalsProblem: An automobile rental agency has the following mileages for a simple random sample of 20cars that were rented last year. Given this information,and assuming the data are from a population that is approximately normally distributed,construct and interpret the 90耾nfidence interval for the population mean.

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