高等教育经济管理课件 Continuous Probability Distributions.ppt,CHAPTER 7 Continuous Probability Distributions Chapter 7 - Learning Objectives Differentiate between the normal and the exponential distributions. Use the standard normal distribution and z-sc
•Probabilitydensityfunction•Probabilitydistributions –Standardnormaldistribution »Mean,variance,applications –Exponentialdistribution »Mean,variance,applications •Normalapproximationtothebinomialdistribution ©2002TheWadsworthGroup Chapter7-KeyConcept •Theareaunderaprobabilitydensityfunctionbetweentwobounds,...
6.2 Normal Random Variables The normal random variable is one of the most commonly used continuous random variables. It has a bell-shaped probability distribution called the normal distribution. The bell-shaped curve is called the normal curve. X Relative frequency μ 6.2 Normal Random Variables (c...
36 A random variable is exponentially distributed if its probability density function is given by f(x) = e - x, x>=0. is the distribution parameter ( >0). is the distribution parameter ( >0). E(X) = 1/ V(X) = (1/ Exponential Distribution 37 f(x) = 2e -...
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CHAPTER 6 CONTINUOUS PROBABILITY DISTRIBUTIONS) Distributionthe
Continuous probability distributions 1 Rationaleandplan Wearedealingwith‘randomvariables’andneedto makeprobabilitystatementsaboutthevaluesthey take 1.Continuousrandomvariables 2.Continuousprobabilitydistributions3.Uniformprobabilitydistribution4.Normaldistribution 2 Continuousrandomvariable Assumesanyvalue...
The?Binomial?Distribution X~B(n,p), when np increases (at least great or equal than 10), The binomial probability distribution approachs symmetric. 50 Binomial?probability n=20,?p=0.6 0.2000? 0.1800? 0 00? 0.1600 0.1400? 0 1200? 0.1200 0.1000? 系列1 0 0800? 0.0800 0.0600? 0.0400?
五.連續變數及常態分佈 (ContinuousRandomVariablesandNormalDistribution) 劉仁沛教授國立台灣大學農藝學研究所生物統計組國家衛生研究院生物統計與生物資訊組 Jpliu@ntu.edu.tw 連續變數機率分佈 (ContinuousProbabilityDistribution) 許多生物上的特性均為連續性觀測值 身高體重作物產量血壓肝功能指數(SGOT) ::吾人所關心的...
ProbabilityDensityFunction (pdf)continuousdistributions 1f(x)>=0allx 2f(x)isthe“likelihood”ofx 3integralunderf(x)isexactly1.0 fxdx() 1 0.1)( dxxf 2F(x)=Pr(x<=X)probabilityXis<=x areaunderpdffrom-infuptox CumulativeDistribution Function(cdf) Fxfxdx x ()() FREQUENCYTABULATION *Interval...