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federal_register: 00-15348

All Federal Register documents (rules, proposed rules, notices, presidential documents) from 1994 to present.

Data license: Public Domain (U.S. Government data) · Data source: Federal Register API & Regulations.gov API

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document_number title type abstract publication_date pub_year pub_month html_url pdf_url agency_names agency_ids excerpts
00-15348 Accuracy and Coverage Evaluation; Statement on the Feasibility of Using Statistical Methods To Improve the Accuracy of Census 2000 Notice The Director of the Census has issued Accuracy and Coverage Evaluation; Statement on the Feasibility of Using Statistical Methods to Improve the Accuracy of Census 2000, his statement on the feasibility of using modern statistical methods to correct Census 2000 counts. The document sets forth the rationale for the Census Bureau's preliminary determination that (1) statistically corrected census data can be produced within the time frame required by law and (2) that statistically corrected data will be more accurate. The Secretary has adopted the Director's analysis and conclusions in a written decision forwarded to the Director. For public information, set forth below is Accuracy and Coverage Evaluation; Statement on the Feasibility of Using Statistical Methods to Improve the Accuracy of Census 2000, as well as three related memoranda (the Director's memorandum transmitting the document to the Secretary, the Secretary's memorandum to the Director, and a supporting legal opinion of the Commerce Department's General Counsel). 2000-06-20 2000 6 https://www.federalregister.gov/documents/2000/06/20/00-15348/accuracy-and-coverage-evaluation-statement-on-the-feasibility-of-using-statistical-methods-to https://www.govinfo.gov/content/pkg/FR-2000-06-20/pdf/00-15348.pdf Commerce Department; Census Bureau 54,42 The Director of the Census has issued Accuracy and Coverage Evaluation; Statement on the Feasibility of Using Statistical Methods to Improve the Accuracy of Census 2000, his statement on the feasibility of using modern statistical methods to correct...

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