الفهرس 
: IntroductionOnly 14 pages are availabe for public view
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Abstract
Over the past few years, databases’ student information has grown significantly. In order to improve the process of students’ performance in exam TOEFL, organization’s created their student information data warehouse. In order to improve the process of students’ performance in exam TOEFL, data mining is employed to deal with such volume of data. Using the statistical programmer for social sciences (SPSS V26) is one of the most vital and effective data mining strategies. Second, it is more complicated and expensive because it is best suited for large, advanced business areas. Third, even non-experts in the field find it difficult to use.
The goal of this effort is to present four suggested strategies to solve these issues. Section one provides a presentation of the respondents’ demographics. Some descriptive statistics and multiple correlations were derived in section two. Section three provides the simple linear regression. Finally in section four, hypotheses testing were done using parametric tests (t-test and ANOVA).