Statistical data quality and its application
DOI:
https://doi.org/10.61841/kc18ne91Keywords:
Data, Statistics, Precision, Confidence, StandardsAbstract
Surveillance and follow-up of the quality of statistical data is one of the bases of the work of statistical institutions and agencies. The concentration in the quality of statistical data is important from the quantitative stage of statistical products. Based on this, the majority of official statistical agencies and international statistical institutions have tended to find and apply standards and standards through which the quality of statistical work is assessed at all stages, As researchers, we are interested in collecting and issuing statistical data and indicators with the most accurate and efficient grades. and consistent with best statistical practices, and also in an effort to sensitize students and researchers to the need to build high confidence in statistical data accurately and reliably In this intervention, some of the fundamentals of statistical data quality frameworks, which include the most important ways to be followed in order to achieve high quality in statistics issued by the competent centres, were addressed.
Downloads
Downloads
Published
Issue
Section
License
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
