IE3301 Fall 2013Chapter 5Chapter 5 cont’d...Chapter 6Chapter 6 cont’d...Chapter 8Chapter 8 cont’d...Slide 8Homework AssignmentsHomework Assignments cont’d...IE3301 Fall 2013IE3301 Fall 2013Overview of Chapter 5: Discrete Probability Overview of Chapter 5: Discrete Probability DistributionsDistributionsOverview of Chapter 6: Continuous Overview of Chapter 6: Continuous Probability DistributionsProbability DistributionsOverview of Chapter 8: Fundamental Overview of Chapter 8: Fundamental Sampling Distributions Sampling Distributions Homework AssignmentsHomework AssignmentsDiscrete Uniform DistributionDiscrete Uniform DistributionBinomial & Multinomial DistributionsBinomial & Multinomial Distributions•Table A.1 for Binomial c.d.f.Table A.1 for Binomial c.d.f.Hypergeometric DistributionHypergeometric Distribution•Binomial Approximation to the HypergeometricBinomial Approximation to the Hypergeometric Chapter 5Chapter 5Geometric DistributionGeometric DistributionNegative Binomial DistributionNegative Binomial DistributionPoisson Distribution & Poisson ProcessPoisson Distribution & Poisson Process•Table A.2 for Poisson c.d.f.Table A.2 for Poisson c.d.f.•Poisson Approximation to the Binomial Poisson Approximation to the Binomial Chapter 5 Chapter 5 cont’d...cont’d...Chapter 6Chapter 6Continuous Uniform DistributionContinuous Uniform DistributionNormal DistributionNormal Distribution•Table A.3 for Normal c.d.f.Table A.3 for Normal c.d.f.•Applications of the Normal DistributionApplications of the Normal Distribution•Normal Approximation to the Binomial and Normal Approximation to the Binomial and Poisson DistributionsPoisson DistributionsChapter 6 Chapter 6 cont’d...cont’d...Gamma and Exponential DistributionsGamma and Exponential Distributions•Relationship to the Poisson processRelationship to the Poisson process•Applications of Gamma and ExponentialApplications of Gamma and ExponentialChi-Squared DistributionChi-Squared DistributionLognormal DistributionLognormal DistributionLinear Combinations of Random VariablesLinear Combinations of Random VariablesSamplingSampling•Population vs. SamplePopulation vs. Sample•Random sampleRandom sample•““Statistic”Statistic”EstimatorsEstimators•Central tendencyCentral tendency•Variability or dispersionVariability or dispersionChapter 8Chapter 8Sampling distribution for sample meanSampling distribution for sample mean•Central Limit TheoremCentral Limit Theorem•Two samplesTwo samplesSampling distribution for sample varianceSampling distribution for sample variance•Chi-squared distributionChi-squared distribution•Table A.5 for upper tail percentilesTable A.5 for upper tail percentilesChapter 8 Chapter 8 cont’d...cont’d...Student’s Student’s tt-distribution-distribution•Sampling distribution for sample mean when Sampling distribution for sample mean when variance is unknownvariance is unknown•Table A.4 for upper tail percentilesTable A.4 for upper tail percentilesFF-distribution -distribution •Sampling distribution for ratio of sample Sampling distribution for ratio of sample variancesvariances•Table A.6 for upper tail percentilesTable A.6 for upper tail percentilesChapter 8 Chapter 8 cont’d...cont’d...Homework AssignmentsHomework AssignmentsHW #5 due Wednesday, October 9HW #5 due Wednesday, October 9•pg 150: 5.3, 5.9, 5.21pg 150: 5.3, 5.9, 5.21•pg 157: 5.29, 5.39, 5.43pg 157: 5.29, 5.39, 5.43•pg 165: 5.49, 5.50pg 165: 5.49, 5.50HW #6 due Wednesday, October 16HW #6 due Wednesday, October 16•pg 165: 5.55, 5.58, 5.61, 5.67 pg 165: 5.55, 5.58, 5.61, 5.67 •pg 185: 6.3, 6.5, 6.7, 6.11pg 185: 6.3, 6.5, 6.7, 6.11Homework Assignments Homework Assignments cont’d...cont’d...HW #7 due Wednesday, October 23HW #7 due Wednesday, October 23•pg 193: 6.24, 6.25pg 193: 6.24, 6.25•pg 205: 6.41, 6.45, 6.53, 6.56, 6.57, 6.58, 6.59pg 205: 6.41, 6.45, 6.53, 6.56, 6.57, 6.58, 6.59HW #8 due Wednesday, October 30HW #8 due Wednesday, October 30•pg 230: 8.1, 8.3pg 230: 8.1, 8.3•pg 241: 8.19, 8.25pg 241: 8.19, 8.25•pg 259: 8.39, 8.41, 8.45, 8.47, 8.51pg 259: 8.39, 8.41, 8.45, 8.47,