The undergraduate curriculum in statistics and data science is undergoing changes to accommodate new methods, newly interested students, and the changing role of statistics in society. Because of this, it is more important than ever that students understand the role of study design and how to formulate meaningful scientific and statistical research questions. While the traditional Design of Experiments course is still extremely valuable for students heading to industry and research careers, a broader study design course that incorporates survey sampling, observational studies, and the basics of causal inference with randomized experiment design is particularly useful for students with a wide range of applied interests. Here, I describe such a course at a small liberal arts college, along with ways to adapt it to meet different student and instructor background and interests. The course serves as a valuable bridge to advanced statistical coursework, meets key statistical literacy and communication learning goals, and can be tailored to the desired level of computational and mathematical fluency. Through reading, discussing, and critiquing actual published research studies, students learn that statistics is a living discipline with real consequences and become better consumers and producers of scientific research and data-driven insights.

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研究研究设计的统计原理本科课程

统计和数据科学的本科课程正在发生变化，以适应新方法、新感兴趣的学生以及统计在社会中不断变化的角色。正因为如此，学生理解研究设计的作用以及如何制定有意义的科学和统计研究问题比以往任何时候都更加重要。虽然传统的实验设计课程对于走向工业和研究职业的学生仍然非常有价值，但更广泛的研究设计课程，包括调查抽样、观察研究和因果推理与随机实验设计的基础，对于具有广泛应用兴趣的学生特别有用。在这里，我描述了一所小型文理学院的此类课程，以及调整它以满足不同学生和教师背景和兴趣的方法。该课程是通往高级统计课程的宝贵桥梁，满足关键的统计素养和沟通学习目标，并且可以根据所需的计算和数学流利程度进行定制。通过阅读、讨论和批评实际发表的研究，学生了解到统计学是一门具有实际影响的活生生的学科，并成为科学研究和数据驱动见解的更好消费者和生产者。