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EEOS 611应用统计，2009春季
EEOS 611 - Applied Statistics, Spring 2009 |
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| 课程网址: |
http://ocw.umb.edu/environmental-earth-and-ocean-sciences/eeos-61...
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| 主讲教师: |
Professor Eugene Gallagher, Ph.D.
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| 开课单位: |
麻省大学
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| 开课时间: |
信息不详。欢迎您在右侧留言补充。
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| 课程语种: |
英语
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| 中文简介: |
我为在研究中使用统计数据、计划使用统计数据或需要解释他人进行的统计分析的研究生设计了这一课程。主要读者是环境科学的研究生, 但该课程应该对任何在自然科学研究生院学习的人都有好处。该课程不是为那些想要简单的统计概述的人设计的;我们将通过分析真实数据来学习。此课程或同等学历是 ubb 生物学和 eeos 博士生所必需的。它是推荐的课程为几个跨校区研究生院的海洋科学计划选项。我模仿华盛顿大学的应用统计系列课程。eeos611 的文本, 拉姆西 & 沙弗的 "统计睡眠", 是为俄勒冈州立大学的研究生应用统计课程开发的。osu 的听众包括生态学家、林业工作者、海洋学家和健康科学研究生。ramsey & schafer 在其 j. stat ed. 的文章《数据分析技巧教学 统计知识对做科学至关重要》中, 在案例研究分析的基础上, 强烈地描述了他们的教学统计哲学。统计就像外语或编程语言一样, 只能通过实践来学习。使用 spss 进行给定统计分析所涉及的基本步骤可以在几分钟内教授。然而, 在做统计和科学涉及的许多技能, 正在制定一个适当的问题来回答, 收集相关的数据, 检查重要的假设, 正确解释结果, 并将其呈现给观众。学习如何从计算机程序中获取 p 值只是正确分析的开始。本课程中更重要的部分强调正在测试的假设, 选择适当的测试统计数据, 并决定数据允许的统计推断程度。最后, 班里所有的学生都会把他们的统计结果呈现给同学。
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| 课程简介: |
I designed the course for graduate students who use statistics in their research, plan to use statistics, or need to interpret statistical analyses performed by others. The primary audience are graduate students in the environmental sciences, but the course should benefit just about anyone who is in graduate school in the natural sciences. The course is not designed for those who want a simple overview of statistics; we’ll learn by analyzing real data. This course or equivalent is required for UMB Biology and EEOS Ph.D. students. It is a recommended course for several of the intercampus graduate school of marine science program options. I modeled this course after the applied statistics series at the University of Washington. The text for EEOS611, Ramsey & Schafer’s “The Statistical Sleuth,” was developed for the graduate applied statistics curriculum at Oregon State University. The audience at OSU comprises ecologists, foresters, oceanographers and graduate students in the health sciences. Ramsey & Schafer describe their philosophy of teaching statistics, based strongly on the analysis of case studies, in their J. Stat Ed. article, ‘Teaching the Craft of Data Analysis:’ Knowledge of statistics is essential to doing science. Statistics, like a foreign language or a programming language, can only be learned through doing and practice. The basic steps involved in doing a given statistical analysis with SPSS can be taught in a matter of minutes. However, much of skill involved in doing statistics, and science, is framing an appropriate question to be answered, collecting the relevant data, checking the important assumptions, properly interpreting the results, and presenting them to an audience. Learning how to get the p values from a computer program is just the beginning of a proper analysis. The more important parts of the course emphasize the hypotheses being tested, selecting the appropriate test statistics, and deciding upon the degree of statistical inference allowed by the data. Finally, all students in the class will present their statistical results to their classmates.
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| 关 键 词: |
统计; 概述统计; 数据分析
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| 课程来源: |
麻省大学公开课
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| 最后编审: |
2021-12-24：liyy
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| 阅读次数: |
44
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