专业概况
在这里学什么？
Modern statistics is an exciting subject that affects most aspects of modern living. It has been developed to deal rationally and objectively with the uncertainty that accompanies variation in phenomena as highly complex as the interplay of the many factors that affect our environment. It derives vitality in coping with practical problems arising in all fields of scientific activity, including the social, business, biological, agricultural, medical, natural, and engineering sciences. Investigators' efforts to learn about a specific phenomenon, be it the response of a patient to a certain medical treatment or the effectiveness of a particular instructional program on a student's learning, are impacted by the presence of natural variation. The field of statistics is concerned with valid and efficient ways to learn more about these phenomena in the presence of such variation. It is an inductive science in which information is extracted from sample data in order to draw inferences. This process most often involves planning experiments or designing studies to ensure that valid answers to questions are obtained from the sample.
Learning Outcomes
- Students will be able to frame a scientific question with the appropriate mode of data analysis, to analyze such data correctly, and to summarize and interpret the results in a useful manner. They will master a number of key statistical techniques, certainly including significance testing, goodness-of-fit testing, and regression analysis, which are common tools in analyzing data. This will include a careful checking of assumptions that underlie the techniques.
- Students will be able to design experiments/studies — in conjunction with scientists proposing the study — that will lead in an efficient manner to the collection of data that can be properly analyzed. They will be able to design studies with multiple factors taking variable reduction techniques into account. They will also be able to interpret and critique designs they encounter in analyzing data.
- Students will be able to use tools from mathematical statistics and probability to assess the quality of point estimators, confidence intervals, and hypothesis tests. They will also be able to demonstrate the skills to connect methods of application to their theoretical underpinnings.
- Students will be able to use a statistical language (with emphasis on R) to manipulate data and perform exploratory data analysis using basic statistical methods. They will be able to write structured R programs using conditional expressions, loops, and functions and to use regular expressions to extract data from text and make high-level visualizations.
- Students will be able to evaluate critically articles that use statistical argumentation. They will be able to assess whether or not the statistical arguments have been developed properly and the conclusions are reliable. If the arguments are not properly developed, they will be able to provide specific evidence for this.
所属院系
进入哪个院系学习？ College of Letters and Science
中国学生入学要求
为来自中国的学生设计 Students must have a paper-based TOEFL score of 587-620.
课程信息
学制：全日制(MINIMUM OF 120 CREDIT HOURS)
学费：US$37,785.08 (¥ 244,617) /年
开学时间：预计在九月 2022
申请截止日期：
留学地点：College of Letters and ScienceSouth Hall, 1055 Bascom Mall,University of Wisconsin–Madison,MADISON,Wisconsin,53706, United States
