Statistical reasoning levels and error analysis of prospective mathematics teacher students

Abstract

This paper describes the level of statistical reasoning and the difficulties and errors that occur in statistical problem-solving in prospective mathematics teacher students at STKIP PGRI Jombang. This research is a qualitative study with a case study strategy, the case study in the process of solving statistical problems carried out by the subject. The research subjects were the 69 students at third-semester of Mathematics Education Program STKIP PGRI Jombang who had taken descriptive statistics. The results of this study indicate that students are not found at the idiosyncratic level, most of them are at the transitional and quantitative level, while the analytical level is still a minority

The effect of a Schema-based method on correcting persistent errors in mental arithmetic: an experimental study

“…For the study on arithmetic errors, it is a crucial step to identify the types of errors ( Reisman, 1972 ; Ashlock, 1986 ; Morales, 2014 ; Pankow et al, 2018 ). The systematic handling of errors made by students is a vital stage in teacher’s work, involving the spotting and explanation of errors ( Rozak and Nurwiani, 2020 ; Ngcobo, 2021 ; Sanina and Sokolov, 2021 ). In further research on arithmetic errors, scholars have summarized the error types, including Errors of perseveration, Errors of association, Errors of interference, knowledge errors, and comprehension errors, etc.…”

Pengembangan Modul Statistika Deskriptif Berbasis Penalaran Statistik

“…Penalaran statistik seseorang dapat dilihat dari bagaimana seseorang memahami informasi, menggunakan prosedur, menginterpretasikan hasil analisis data statistik (Fardillah et al, 2019;Kristanto, 2018;Rosidah et al, 2018), penarikan argumen berdasarkan ide-ide statistik (Maryati, 2018), dan merepresentasikan grafik grafik untuk penarikan kesimpulan (A. Rozak & Nurwiani, 2020). Penalaran statistik dapat berbentuk kemampuan seseorang dalam menggabungkan ide-ide tentang data yang mengarah pada penarikan kesimpulan dan penafsiran hasil statistik (Yusuf, 2017).…”