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预防医学 Preventive medicine 是医学的一门应用学科,以个体和确定的群体为对象,目的是保护、促进和维护健康,预防疾病、失能和夭折
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How to construct various control charts Which control charts to use for a particular type of data How to measure the capability of a process The basic themes of quality management and Deming’s 14 points The basic aspects of Six Sigma
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Demand Management Qualitative Forecasting Methods Time Series Analysis – Static method – Adaptive method Simple & Weighted Moving Average Forecasts Exponential Smoothing Exponential Smoothing with trend Exponential Smoothing with trend & seasonality Simple Linear Regression
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To use regression analysis to predict the value of a dependent variable based on an independent variable The meaning of the regression coefficients bo and b . To evaluate the assumptions of regression analysis and know what to do if the assumptions are violated . To make inferences about the slope and correlation coefficient . To estimate mean values and predict individual values
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 Recognize situations in which to use analysis of variance  Understand different analysis of variance designs  Perform a single-factor hypothesis test and interpret results  Conduct and interpret post-hoc multiple comparisons procedures  Analyze two-factor analysis of variance tests
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 Test hypotheses for the difference between two independent population means (standard deviations known or unknown)  Test two means from related samples for the mean difference  Complete a Z test for the difference between two proportions  Use the F table to find critical F values  Complete an F test for the difference between two variances
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 Formulate null (H0) and alternative hypotheses (H1) for applications involving one sample population mean or proportion  Formulate a decision rule for testing a hypothesis  Know how to use the critical value and p-value approaches to test the null hypothesis (for both mean and proportion problems)  Know what Type I and Type II errors are
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对比例的推断 数据=(1,,11.0,伯努利(P) 目标一估计P值,成功的概率(或具有某种 性质的总体比例) p=x=在n次观测中成功的个数 Var( p) =p(1-p)/n =pq/n ·方差依赖均值
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▪ Interpret the mean and standard deviation for a discrete probability distribution ▪ Explain covariance and its application in finance ▪ Use the binomial probability distribution to find probabilities ▪ Describe when to apply the binomial distribution ▪ Discuss the Hypergeometric distribution ▪ Review the Poisson distribution
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面向对象技术的概念和方法,本质上是一种合理的思维方法,是不依赖于程序设计语言 的应用软件开发的基本核心技术。因此要掌握面向对象编程,首先应该学习面向对象技术的 基本要点。越是深入理解面向对象技术的理论和方法,就越能让您在自己在应用领域中最大 限度地发挥思维能力和创造能力,就能掌握各种面向对象软件设计的各种语言
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