Analysis of Inferential Statistical Error in Student Thesis

Abstract

Learning inferential statistics is very important for students of the Elementary School Teacher Education study program, Universitas Pendidikan Indonesia, Serang Campus, to study a phenomenon and analyze research data. The purpose of this study was to determine the errors of inferential statistics in student thesis. Because the Inferential Statistics course is a subject that is considered difficult and cannot be applied in everyday life, the samples in this study were students of the Elementary School Teacher Education Study Program, Universitas Pendidikan Indonesia, Serang Campus, batch 2019. This study used quantitative research with descriptive methods. Also using the results of SPSS version 20 output. The research subjects are students of the 2019 Elementary School Teacher Education study program. The analytical technique used is normality test analysis, homogeneity, t test which is then followed by the Mann Whitney test. The output results of SPSS version 20 show that the t-test used by students in the thesis is not correct or an inferential statistic error occurs because the results do not meet the t-test requirements because the data is not normal, which should use the Mann Whitney test.