Graphical Paradigms for Teaching and Using Statistics

学生首先通过柱状图和直方图等简单图形学习统计思维。在大学阶段，统计数据的图形化方法较少使用。这在一定程度上是因为优秀的图形才刚刚出现在计算机上。可能更重要的原因是，数值方法有坚实的数学基础，而图形统计主要是由绘图方法组成，没有任何相关的理论。在这个项目中，正在发展一种理论上合理的统计图形方法。课程集中于回归模型或曲线拟合以及其他可以在所有级别的课程中使用的统计思想。这个项目与其他图形项目的不同之处在于，它发展了一种统一的理论，使图形更容易理解，在研究的分析阶段更有用。

9354678 Cook Students first learn statistical thinking through simple graphics like bar charts and histograms. At the college level a graphical approach to statistics is less often used. This is so in part because good graphics have only just become available on computers. Possibly a more important reason is that while numerical methods have a firm mathematical footing, graphical statistics have consisted primarily of methods of graphing, without any accompanying theory. In this project, a theoretically sound graphical approach to statistics is being developed. Lessons concentrate on regression modelling or curve fitting as well as other statistical ideas which can be used in courses at all levels. What differentiates this project from others on graphics is the development of a unified theory to make graphs more comprehensible and much more useful in the analysis phase of a study.