 Test hypotheses for the difference between two independent population means (standard deviations known or unknown)  Test two means from related samples for the mean difference  Complete a Z test for the difference between two proportions  Use the F table to find critical F values  Complete an F test for the difference between two variances

To use regression analysis to predict the value of a dependent variable based on an independent variable The meaning of the regression coefficients bo and b . To evaluate the assumptions of regression analysis and know what to do if the assumptions are violated . To make inferences about the slope and correlation coefficient . To estimate mean values and predict individual values

How to construct various control charts Which control charts to use for a particular type of data How to measure the capability of a process The basic themes of quality management and Deming’s 14 points The basic aspects of Six Sigma

Demand Management Qualitative Forecasting Methods Time Series Analysis – Static method – Adaptive method Simple & Weighted Moving Average Forecasts Exponential Smoothing Exponential Smoothing with trend Exponential Smoothing with trend & seasonality Simple Linear Regression

 Recognize situations in which to use analysis of variance  Understand different analysis of variance designs  Perform a single-factor hypothesis test and interpret results  Conduct and interpret post-hoc multiple comparisons procedures  Analyze two-factor analysis of variance tests

 Formulate null (H0) and alternative hypotheses (H1) for applications involving one sample population mean or proportion  Formulate a decision rule for testing a hypothesis  Know how to use the critical value and p-value approaches to test the null hypothesis (for both mean and proportion problems)  Know what Type I and Type II errors are

▪ Interpret the mean and standard deviation for a discrete probability distribution ▪ Explain covariance and its application in finance ▪ Use the binomial probability distribution to find probabilities ▪ Describe when to apply the binomial distribution ▪ Discuss the Hypergeometric distribution ▪ Review the Poisson distribution

To describe the properties of central tendency, variation and shape in numerical data To calculate descriptive summary measures for a population To construct and interpret a box-and-whisker plot To describe the covariance and coefficient of correlation as a measure of the strength of the relationship between two numerical variables

通过本门课程的学习,学生应能掌握“审计”、“审计对象”、“审计职 能”、“审计分类”、“审计组织”、“审计目标”、“审计计划”、“审计 方法”、“审计证据”、“审计工作底稿”、“重要性”、“审计风险” “内部控制”“符合性测试”、“实质性测试”、“审计报告”、“政府审 计”、“内部审计”、“计算机审计”等基本概念、基本方法与基本理论:了 解审计产生发展的历程和审计产生的动因;熟悉收集审计证据的各种方法;在 熟练掌握上述内容的基础上,应能利用有关理论和方法,分析审计中的具体问 题,并能初步提出解决问题的方案

例 1 设电力公司每月可以供应某工厂的电力ξ （单位 4 10 kw）服从 )30,10( 上的均匀分布，而该工厂每月实际需 要的电力η 服从 )20,10( （单位 4 10 kw）上的均匀分布，ξ 与 η 相互独立，如果工厂能从电力公司得到足够的电力，则 每 kw 4 10 电可以创造 30 万元利润，若工厂从电力公司得不 到足够的电力