Statistika

 

Module title SBEP2013 Statistics
Semester(s) 3rd Semester
Person responsible Dr. Andi Ulfa Tenri Pada, S.Pd., M.Pd.
Language Indonesian, English
Relation to curriculum Compulsory module for 3rd semester students. This course introduces statistical principles and applications in biology education and research.
It supports CPL-5 (research competency) by equipping students with skills to collect, analyze, interpret, and present quantitative data.
In line with ASIIN standards, the course emphasizes analytical thinking, methodological rigor, and evidence-based decision making in STEM education.
Teaching methods Group discussion, brainstorming, lecture, student-centered learning
Workload 2 x 45 hours per semester, comprising:

✔ 100 minutes lecture and discussion per week
✔ 120 minutes structured tasks per week
✔ 120 minutes independent learning per week
Credit points 2 SKS = 3.34 ECTS (90 hours)
Prerequisites –
Module objectives / Intended Learning Outcomes ✔ Students are able to describe basic concepts of parametric and nonparametric statistics.
✔ Students are able to understand statistical data, data collection, presentation, and descriptive measures (mean, median, mode, SD, etc.).
✔ Students are able to understand hypothesis testing (binomial, chi-square, t-test, Fisher test).
✔ Students are able to analyze data using correlation, regression, and ANOVA.
Content This course discusses statistics in research, including descriptive and inferential statistics, probability theory, hypothesis testing, and data analysis tools.

Main topics:

➢ Role of statistics in research; descriptive statistics (frequency distribution, stem-leaf); inferential statistics (probability, binomial, normal distribution, chi-square, t-test, Fisher)
➢ Sampling distribution and hypothesis testing (t-test, ANOVA, assumptions, post-hoc tests)
➢ Correlation, regression analysis, and non-parametric statistics

The course also includes data analysis using Excel and SPSS.
Exams and assessment formats Written examination, assignments, quizzes, and participatory activities
Study and examination requirements ✔ Participatory Activities: 10%
✔ Assignment: 36%
✔ Quiz: 14%
✔ Exam 1: 20%
✔ Exam 2: 20%
Recommended Literature 1. Howell, D. C. (1987). Statistical methods for psychology. Duxbury Press. (Main Reference)
2. Pedhazur, E. J. (1982). Multiple regression in behavioral research. Holt, Rinehart and Winston. (Fundamental Book)
3. Kim, T. C. (2005). Elementary probability and statistics. Pearson Prentice Hall. (Basic Book)
4. Triola, M. F. (2021). Elementary statistics (13th ed.). Pearson
5. Moore, D. S., McCabe, G. P., & Craig, B. A. (2021). Introduction to the practice of statistics (10th ed.). W. H. Freeman.
6. Walpole, R. E., Myers, R. H., Myers, S. L., & Ye, K. (2020). Probability and statistics for engineers and scientists (10th ed.). Pearson.
7. Freedman, D., Pisani, R., & Purves, R. (2019). Statistics (4th ed.). W. W. Norton & Company.
8. Agresti, A., & Franklin, C. (2021). Statistics: The art and science of learning from data (4th ed.). Pearson.
9. Wasserstein, R. L., Schirm, A. L., & Lazar, N. A. (2019). Moving to a world beyond p < 0.05. The American Statistician, 73(sup1), 1–19.
https://doi.org/10.1080/00031305.2019.1583913
Date of last amendment August 2024