Significant Differences Between the IQ Scores of Mathematics Students based on Regression Analysis and Factorial Experimental Design

Hadeel Salim Alkutubi
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Abstract

In this research, data on general intelligence and emotional intelligence scores were analyzed and the difference between them was studied in terms of their application to students of the Mathematics Department in the four stages in the College of Computer Science and Mathematics at the University of Kufa for the academic year 2023-2024. Four statistical methods were used. The first was multiple regression analysis to study the extent to which each student's mathematics score was affected on the general intelligence and emotional intelligence tests (Y), by the student's gender (X1) and his type of residence (X2). The second statistical method is to analyze the design of a factorial experiment to study the presence or absence of significant differences between the grades of students in the four stages by classifying the students in the four stages into males and females, as well as studying the significant difference in the scores of the two intelligence tests (general and emotional) for students in the Mathematics Department in general and divided according to gender. requester. The third method of analysis was to analyze the design of a completely randomized experiment to study the significant differences in students’ intelligence scores between the four academic levels in the mathematics department. If there is a significant difference in the results of analyzing the data in the above methods, then we use the fourth statistical method in this research, which is the analysis of the least significant difference test to study the differences between each two groups separately. The results of the data analysis were numerous, the most important of which is that the intelligence scores in the two tests (general intelligence and emotional intelligence) do not depend on nor are affected by the student’s gender or type of residence. In addition, intelligence scores were not affected for the four educational levels.
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基于回归分析和因子实验设计的数学学生智商得分的显著差异
本研究分析了库法大学计算机科学与数学学院数学系 2023-2024 学年四个阶段的学生的一般智力和情绪智力得分数据,并研究了它们之间的差异。使用了四种统计方法。第一种是多元回归分析法,研究学生的性别(X1)和居住地类型(X2)对每个学生在一般智力和情绪智力测试中的数学成绩(Y)的影响程度。第二种统计方法是分析因子实验的设计,通过将四个阶段的学生分为男生和女生,研究四个阶段的学生成绩之间是否存在显著差异,同时研究数学系学生在一般情况下和根据性别划分的两种智力测验(一般智力测验和情绪智力测验)得分的显著差异。 请求者。第三种分析方法是分析完全随机实验的设计,研究数学系四个学业水平之间学生智力分 数的显著差异。如果上述方法分析数据的结果存在显著差异,那么我们就采用本研究的第四种统计方法,即最小显著差异检验分析法,分别研究每两组之间的差异。数据分析的结果很多,其中最重要的是,两次测试(一般智力和情绪智力)的智力得分不依赖于学生的性别或居住地类型,也不受其影响。此外,四个教育等级的智力分数也不受影响。
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