本文先就「波松分配」(Poisson Distribution)的理論加以說明,然後以電 腦模擬「波松分配」資料利用科一一史適合度裁定越近『常態分配』的實際情形,最後引用實例分析「波松模式」(Poisson Model)在運動測驗上「重被測量單一項目」(MASI)的實際應用,文中強調「重複測量單一項目」的「固定 試做時間型式」測驗,當μ較微小時,波松分配較常態分配適合這個模式。
Thisarticle describes the theory of Poisson Distribution (PD). ThePD datas of computer simulation are to approximate Normal Distribution (ND) by KolmogorovSmirnov goodness of fit test. Examples are given to illustrate the applications of Poisson Model (PM) to the Multiple-Attempt, Single-Item Tests (MASI) of psychomotor test. It emphasizes that the PD is more suitable than the ND for the fixed-time period of MASI, especially when the μis small.