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首页> 外文期刊>International Journal of Mathematical Education in Science and Technology >Pearson's correlation between three variables; using students' basic knowledge of geometry for an exercise in mathematical statistics
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Pearson's correlation between three variables; using students' basic knowledge of geometry for an exercise in mathematical statistics

机译:皮尔森在三个变量之间的相关性;利用学生的几何基础知识进行数学统计学练习

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摘要

When studying correlations, how do the three bivariate correlation coefficients between three variables relate? After transforming Pearson's correlation coefficient r into a Euclidean distance, undergraduate students can tackle this problem using their secondary school knowledge of geometry (Pythagoras' theorem and similarity of triangles). Through a geometric interpretation, we start from two correlation coefficients r_(AB) and r_(BC) and then estimate a range for the third correlation r_(AC). In the case of three records (n = 3), the third correlation r_(AC) can only attain two possible values. Crossing borders between mathematical disciplines, such as statistics and geometry, can assist students in deepening their conceptual knowledge.
机译:在研究相关性时,三个变量之间的三个双变量相关系数如何关联?将皮尔逊的相关系数r转换为欧几里得距离后,大学生可以使用中学的几何知识(毕达哥拉斯定理和三角形相似性)来解决这个问题。通过几何解释,我们从两个相关系数r_(AB)和r_(BC)开始,然后估计第三个相关系数r_(AC)的范围。在三个记录(n = 3)的情况下,第三相关r_(AC)只能获得两个可能的值。统计学和几何学等数学学科之间的界线可以帮助学生加深他们的概念知识。

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