Efron Manik
Mathematics Education Study Program, Faculty of Teacher Training and Education, HKBP Nommensen University, Sutomo Street Number 4A, Medan, North Sumatera 20235, Indonesia

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

Analysis of Critical Thinking Skills in Decision Making with R Project in Mathematical Statistics Course Rani Farida Sinaga; Lolyta Damora Simbolon; Efron Manik; Sofy Kristiani Manalu
Panthera : Jurnal Ilmiah Pendidikan Sains dan Terapan Vol. 6 No. 1 (2026): January
Publisher : Lembaga Pendidikan, Penelitian, dan Pengabdian Kamandanu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/panthera.v6i1.1122

Abstract

This study aims to analyze how the use of R Project Software in mathematical statistics courses can contribute to improving students' critical thinking skills, especially in the context of data-based decision making. Indicators of critical thinking in decision making with R Project: 1) interpretation (can write what is known and asked in the question clearly or identify the problem correctly); 2) analysis (can write what must be done in solving the problem); 3) inference (can draw conclusions from what is asked logically and visualize the results); 4) evaluation (can write down the solution to the problem and build a model to evaluate alternatives); and 5) explanation (can provide reasons for the conclusions drawn). The research method uses a descriptive quantitative approach. This research has a population of 80 students with a sample size of 40 students using non-probability sampling with the purposive sampling technique. By using a significance level of 5% and a df value of nk = 40 - 2 = 38, the ttable value is 1.686. The tcount value of 3.383 exceeds the ttable value of 1.686, indicating that the null hypothesis is rejected at a 95% confidence level. And, keep the abstract concise by stating only the conclusion of the statistical test (significant positive effect). Thus, R Project can be recommended as a natural analysis tool for learning mathematical statistics.