 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

 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

 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

Chapter 7 Confidence Interval Estimation

To compute probabilities from the normal distribution. To compute probabilities from the uniform distribution. To compute probabilities from the exponential distribution

Basic probability concepts  Sample spaces and events, simple probability, joint probability Conditional probability  Statistical independence, marginal probability Bayes’s Theorem

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

 To develop tables and charts for categorical data  To develop tables and charts for numerical data  The principles of properly presenting graphs

Why statistics is important How statistics is used in business The sources of data used in business The types of data used in business The key terms The basics of Microsoft Excel

同济大学：《应用统计学》课程教学资源（试卷习题）考核试卷（B卷）2011-2012学年第2学期（无答案）