Basic Probability Concepts: Sample Spaces and Events, Simple Probability, and Joint Probability(联合概率) Conditional Probability(条件概率) Bayesian Theorem(贝叶斯定理) .The Probability of a Discrete Random Variable .Binomial, Poisson, and Hypergeometric Distributions Covariance(协方差) and its Applications in Finance

Statistical Thinking and Management Descriptive versus Inferential Statistics Types of Data and their Sources Types of Sampling Methods Types of Survey Errors

一、基本抽样问题 1 基本概念 2 制定抽样计划的步骤 3 抽样误差与非抽样误差 4 概率抽样方法 5 非概率抽样方法

一、集中趋势(Central Tendency) 1, What is the most typical value? The Average: typical value for quantitative data The Weighted Average: Adjusting for importance The Median: typical value for quantitative and ordinal data The Mode: typical value even for nominal data 2, What percentile is it? Extremes, Quartiles, and Box Plots The Cumulative distribution function displays the percentiles

一、假设检验的基本概念 二、One- Sample Tests(单样本检验)

Testing with Rank Sum Z Test for Differences in Two Proportions (Independent Samples) x2Test for Differences in Two Proportions (Independent Samples) x2Test for Differences in c Proportions (Independent Samples) x2Test of Independence

The Multiple Regression Model Contribution of Individual Independent Variables Coefficient of Determination Categorical Explanatory Variables Transformation of Variables Model Building

The Payoff Table and Decision Trees Opportunity Loss Criteria for Decision Making Expected Monetary Value Expected Profit Under Certainty Return to Risk Ratio Decision Making with Sample Information Utility

16.1基本放大电路的组成 16.2放大电路的静态分析 16.3放大电路的动态分析 16.4静态工作点的稳定 16.5射极输出器 16.6放大电路中的负反馈 16.7放大电路中的频率特性 16.8多级放大电路及其级间耦合 16.9差动放大电路 16.10互补对称功率放大电路 16.11场效应管及其放大电路

21.1脉冲信号 21.2晶体管的开关作用 21.3分立元件门电路 21.4TTL门电路 21.5MOS门电路 21.6逻辑代数 21.7组合逻辑电路的分析与综合 21.8加法器 21.9编码器 21.10译码器和数字显示 21.10数据分配器和数据选择器 21.12应用举例