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首页> 外文期刊>International Journal of Statistics and Applications >Statistical Analysis of Sampled Cases of Sexually Assaulted Female Students in a Nigerian Private University
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Statistical Analysis of Sampled Cases of Sexually Assaulted Female Students in a Nigerian Private University

机译：尼日利亚一所私立大学性侵犯女学生抽样案件的统计分析

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The study was carried out on sexually assaulted females and some relationships such as parents, lecturers, open places, among others and also males guilty of sexual assault and some reasons such as alcohol, pornography, among others in Bowen University, Iwo, Nigeria. This aimed at determining the relationship between sexual assault and factors responsible for it, specifically to formulate statistical model for the problem and determining significant factors responsible for sexual assault. The study adopted regression analysis with the assumption that errors are uncorrelated among others. Logistic regression was employed through the help of SPSS Version 15.0. The sample size of 125 derived from stratified sampling making use of six faculties in Bowen University as the strata. Neyman allocation formula was applied. Result obtained gave a logistic regression model for the data set. The study concluded that the number perpetrated by their relatives and number of assaults in an open place had contributed immensely to the rave of sexual assault among females in a Nigerian University, especially in Bowen University.
机译：这项研究是在尼日利亚爱荷华州的鲍文大学对遭受性侵犯的女性以及一些关系（例如父母，讲师，开放场所等）以及男性犯有性侵犯和某些原因（例如饮酒，色情）进行的。这旨在确定性侵犯与造成性侵犯的因素之间的关系，特别是要为该问题建立统计模型并确定造成性侵犯的重要因素。该研究采用回归分析，并假设错误之间是不相关的。通过SPSS 15.0版采用Logistic回归。样本量为125，来自分层抽样，以Bowen大学的6个系为样本。应用Neyman分配公式。获得的结果为数据集提供了逻辑回归模型。研究得出的结论是，在尼日利亚大学，特别是在鲍文大学，由亲戚造成的袭击次数和在空旷地方的袭击次数极大地促进了女性遭受性侵犯的狂潮。

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