Sampling with Real Data: Identifying Optimal Sampling Land Areas for Estimating the Population
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| Title: | Sampling with Real Data: Identifying Optimal Sampling Land Areas for Estimating the Population |
|---|---|
| Language: | English |
| Authors: | Samet Okumus (ORCID |
| Source: | Digital Experiences in Mathematics Education. 2025 11(2):276-286. |
| Availability: | 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/ |
| Peer Reviewed: | Y |
| Page Count: | 11 |
| Publication Date: | 2025 |
| Document Type: | Journal Articles Reports - Research |
| Descriptors: | Sampling, Data Analysis, Computation, Population Distribution, Maps |
| DOI: | 10.1007/s40751-024-00159-4 |
| ISSN: | 2199-3246 2199-3254 |
| Abstract: | 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. |
| Abstractor: | As Provided |
| Entry Date: | 2025 |
| Accession Number: | EJ1488710 |
| Database: | ERIC |
| Abstract: | 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. |
|---|---|
| ISSN: | 2199-3246 2199-3254 |
| DOI: | 10.1007/s40751-024-00159-4 |
