1. 1 Ch2 Modeling Process Quality 1.Describing variationDescribing variation 2.Discrete DistributionDiscrete Distribution 3.Continuous DistributionContinuous Distribution 4.Some useful approximationSome useful approximation

2. 2 Describing variation 回上頁 The Box Plot Numerical Summary of Data ： e.g. sample mean and sample variance Frequency Distribution and Histogram Stem and Leaf Plot

3. 3 Discrete Distribution 回上頁 Pascal （ negative binomial ） 當 r=1 時，稱為「 geometric distribution 」 Poisson Binomial Hypergeometric

4. 4 Continuous Distribution 回上頁 Weibull Gamma Exponential Normal

5. 5 Some useful approximation 回上頁 Binomial NormalPoisson Hypergeometric If n/N is small （ e.g. ）, then Binomial with p=D/N is a good approximation to the Hypergeometric. 若 則可以 Poisson 來估計 Binomial. np>10,, 當 n 大時， 令 利用 C.L.T. 可以 Normal 來估計 Binomial.