一、组织变革的必要性 二、企业成长理论 三、组织变革的阻力 四、克服阻力的方法 五、组织变革的方法,趋势 六、学习性的企业

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

To detine multivariate analysis. To describe multiple regression analysis and multiple discriminant analysis. To learn about factor analysis and cluster analysis. gain an appreciation of perceptua mapping. To develop an understanding of conjoint analysis