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ERIC Number: EJ1488710
Record Type: Journal
Publication Date: 2025
Pages: 11
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-2199-3246
EISSN: EISSN-2199-3254
Available Date: 2024-09-24
Sampling with Real Data: Identifying Optimal Sampling Land Areas for Estimating the Population
Digital Experiences in Mathematics Education, v11 n2 p276-286 2025
This snapshot illustrates my use of the Common Online Data Analysis Platform (CODAP), a web-based tool, to perform a sampling data task embedded within a real-world phenomenon. The aim is to identify the optimal sampling land areas on the map for estimating the population. I utilized a public dataset containing densely located alternative fuel stations and expansive vacant regions spread throughout a rectangular area. I sampled rectangular areas on the map and discussed the sampling results with a focus on the variability between and across the samples, primarily using mean absolute deviation as a measure of variation. The sampling task in CODAP is shared with the reader.
Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link-springer-com.bibliotheek.ehb.be/
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: 1Recep Tayyip Erdogan University, Department of Mathematics and Science Education, College of Education, Cayeli/Rize, Türkiye