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 Completely Randomized Model One-Factor Analysis of Variance F-Test for Difference in c Means The Tukey-Kramer Procedure ANOVA Assumptions The Factorial Design Model: Two-Way Analysis of Variance Examine Effect of Factors and Interaction Kruksal-Wallis Rank Test for Differences in c Medians

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

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

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、数据集合 Measurements of items e.g., Yearly sales volume for your 23 salespeople e.g., Cost and number produced, daily, for the past month 二、基本单元 The items being measured e.g., Salespeople, Days, Companies, Catalogs, . 三、变量 The type of measurement being done e.g., Sales volume, Cost, Productivity, Number of defects

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

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

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