Ukuran Pemusatan dan Penyebaran Data
DOI:
https://doi.org/10.63822/xh0kfd65Keywords:
Statistics, central tendency, data dispersion, mean, standard deviation.Abstract
Statistics is the science of collecting, processing, presenting, and analyzing data in order to provide meaningful information for decision-making. One of the fundamental concepts in statistics is the measure of central tendency and data dispersion. Measures of central tendency, which include mean, median, and mode, describe the central value of a data set. Meanwhile, measures of dispersion, such as range, variance, and standard deviation, are used to determine how far the data values deviate from the center. This article aims to provide a comprehensive understanding of the concepts, formulas, and applications of measures of central tendency and dispersion in the context of learning statistics. With a proper understanding, students are expected to analyze data more critically, recognize variation within a phenomenon, and connect the analysis results to real-life problems. The discussion in this paper is expected to strengthen students’ analytical skills and provide a solid foundation for studying more advanced statistical methods
References
Nugraha, M. R., & Basuki. (2021). Kesulitan Kemampuan Pemecahan Masalah Matematis Siswa SMP di Desa Mulyasari pada Materi Statistika. Plusminus: Jurnal Pendidikan Matematika, 1(2), 235-248.
Pratikno, A. S., Prastiwi, A. A., & Ramahwati, S. (2020). Penyajian Data, Variasi Data, dan Jenis Data. OSF Preprints. https://doi.org/10.31219/osf.io/7w8xp
Dewi, D. K., Khodijah, S. S., & Zanthy, L. S. (2020). Analisis Kesulitan Matematik Siswa SMP Pada Materi Statistika. Jurnal Cendekia, 4(1), 1-7.
Nurfadila, R. A., & Komarullah, H. (2023). Pengembangan Aplikasi Statistika dengan Menggunakan Microsoft Excel untuk Menentukan Ukuran Pemusatan dan Penyebaran Data bagi Peserta Didik Kelas 12. Prosiding Seminar Nasional Matematika dan Sains, Universitas Wiralodra
Kerlinger, F. N. (1993). Asas-asas Penelitian Behavioral. Yogyakarta: Gadjah Mada University Press.
Khumaedi, M; Sahrul; Zulpan; Hanida, R.S; Hasibuan, R.H. (2025). Metodologi Penelitian Research And Development (R & D) Kajian Dalam Konteks Media & Penerapan. YPAD Penerbit.
Komarudin, U., Wulandari, M. N., Ramadhani, F. A., & Marfu’ah, S. (2024). Pengembangan Instrumen Penelitian. YPAD Penerbit.
Wicaksono, A., Gibran, A. F., Irmansyah, D., & Aji, H. (2023). Ukuran Penyebaran Data (Kemiringan dan Keruncingan). Jurnal Statistika, Universitas Bina Sarana Informatika
Pratikno, A. S., Prastiwi, A. A., & Ramahwati, S. (2020). Penyajian Data, Variasi Data, dan Jenis Data. OSF Preprints. https://doi.org/10.31219/osf.io/7w8x
Kerlinger, F. N. (1993). Asas-asas Penelitian Behavioral. Yogyakarta: Gadjah Mada University Press.
Wicaksono, A., Gibran, A. F., Irmansyah, D., & Aji, H. (2023). Ukuran Penyebaran Data (Kemiringan dan Keruncingan). Jurnal Statistika
Sudijono, Anas, Pengantar Statistika Pendidikan, (Depok: Rajawali Pers, 2018), hlm. 55.
Herrhyanto, N. & Hamid, A.H.M., Statistika Dasar, (Jakarta: Universitas Terbuka, 2008), hlm. 44.
Sudjana, Metode Statistika, Edisi 6 (Bandung: Tarsito, 1996), hlm. 102.
Supranto, J., Statistik: Teori dan Aplikasi Jilid 2, Edisi 6 (Bandung: Erlangga, 2001), hlm. 67.
Wahab, A., Statistika I: Dasar-dasar Statistika Deskriptif untuk Ilmu Pendidikan dan Sains, (Yogyakarta: Kaukaba Dipantara, 2013), hlm. 78.
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