摘要
针对高校学生专业基础课之间存在较大关联性,论文应用SPSS软件对太原学院管理系2020级市场营销专业75名学生的经济数学、西方经济学、统计学卷面成绩进行正态性检验和相关性分析,研究表明课程成绩服从正态分布,并且呈线性正相关关系,据此将学生西方经济学课程成绩视为自变量,理论统计学课程成绩视为因变量,建立了多元线性回归预测方程,方程拟合度较好,以此帮助教师及学生预测统计学课程成绩,针对研究过程中凸显的问题给出相关建议,最后论文研究成果对高校管理者利用学生成绩辅助提高教学成果,提高学生学习效率提供了一种思路。
In view of the relatively large correlation between the basic courses of college students'majors,this paper uses spss software to test the normality test and correlation of 75 students in economic mathematics,western economics,and statistics in the 2020 marketing major of the management department of Taiyuan University.The study shows that the course grades obey a normal distribution and have a linear positive correlation.According to this,the students'Western economics course grades are regarded as independent variables,and the theoretical statistics course grades are regarded as dependent variables,and a multiple linear regression prediction equationis established,the equation fitting degree is good,in order to help teachers and students predict the results of statistics courses,and give relevant suggestions for the problems highlighted in the research process.Finally,the research results of this paper are helpful for college administrators to use students'achievements to help improve teaching results and improve students'performance.Learning efficiency provides a way of thinking.
作者
张梁
闫永红
赵荣
张城瑞
文丽
段珮华
于晋伟
ZHANG Liang;YAN Yonghong;ZHAO Rong;ZHANG Chengrui;WEN Li;DUAN Peihua;YU Jinwei(Taiyuan University,Taiyuan 030032)
出处
《计算机与数字工程》
2023年第5期1086-1090,共5页
Computer & Digital Engineering
基金
2021年山西省高等学校哲学社会科学研究项目(编号:2021zsszsx129)
2021年教育部产学合作协同育人项目(编号:202102443013)资助。
