1 Motivations All the models we have looked at thus far have been single equations models of the form y=XB+u All of the variables con

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

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、基本概念 1、 Sample Statistic(样本统计量) Any number computed from sample data random variable. Known

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

The Normal Distribution The Standard Normal Distribution Assessing the Normality Assumption The Exponential Distribution Sampling Distribution of the Mean Sampling Distribution of the Proportion Sampling From Finite Populations

To learn the objectives of questionnaire esign. To understand the role of the questionnaire in the data collection process. To become familiar with the criteria for a good questionnaire. To learn the process for questionnaire design

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

Types of Regression Models Determining the Simple Linear Regression Equation Measures of Variation in Regression and Correlation Assumptions of Regression and Correlation Residual Analysis and the Durbin-Watson Statistic Estimation of Predicted Values Correlation Measuring the Strength of the Association

Component Factors of the Time-Series Model Smoothing of Data Series Moving Averages Exponential Smoothing Least Square Trend Fitting and Forecasting Linear, Quadratic and Exponential Models Autoregressive Models Choosing Appropriate Models Monthly or Quarterly Data