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

一、统计调查的意义 统计调查就是按照统计任务的要求,运用科学的调查方法,有组织地向社会实际搜集资料的过程。应当正确理解社会调查在人们认识中的地位;应当正确理解统计调查在统计工作中的地位; 应当正确理解统计调查理论和方法在统计学原理中的地位

一、种群统计学 二、 种群的数量及其动态 三、种群的空间分布

• 1.能正确安排简单表和组合的统计表 • 2.要求掌握统计表的基本表式和内容 • 3.几种统计图形的选择