Last edited by Baktilar
Saturday, April 18, 2020 | History

2 edition of Quality of statistical data found in the catalog.

Quality of statistical data

Slobodan S. Zarkovich

Quality of statistical data

  • 205 Want to read
  • 3 Currently reading

Published by Food and Agriculture Organization of the United Nations in Rome .
Written in English

    Subjects:
  • Sampling (Statistics),
  • Error analysis (Mathematics)

  • Edition Notes

    Statementby S. S. Zarkovich.
    ContributionsFood and Agriculture Organization of the United Nations.
    Classifications
    LC ClassificationsQA276.6 .Z3
    The Physical Object
    Paginationxi, 395 p.
    Number of Pages395
    ID Numbers
    Open LibraryOL5157842M
    LC Control Number74436566


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Quality of statistical data by Slobodan S. Zarkovich Download PDF EPUB FB2

Quality Glossary Definition: Statistics. Statistics are defined as a field that involves tabulating, depicting, and describing data sets. Statistical methods in quality improvement are defined as the use of collected data and quality standards to find new ways to improve products and services.

Quality of statistical data. Rome: Food and Agriculture Organization Quality of statistical data book the United Nations, (OCoLC) Document Type: Book: All Quality of statistical data book / Contributors: Slobodan S Zarkovich; Food and Agriculture Organization of the United Nations.

Statistical Methods and the Improvement of Data Quality contains the proceedings of The Small Conference on the Improvement of the Quality of Data Collected by Data Collection Systems, held Quality of statistical data book November, in Oak Ridge, Tennessee.

Statistical Quality Control. Statistical quality control (SQC) is the application of statistical methods for the purpose of determining if a given component of production (input) is within acceptable statistical limits and if there is some result of production (output) that may be shown to be statistically acceptable to required specifications [].

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This book is intended to be an informative read, with bite-sized columns, as well as a starting point for deeper exploration of key statistical areas. The book contains nine chapters with collections of articles on the following topics: Statistical engineering Data quality and measurement Data collection Key statistical tools Quality control.

We have created two interactive tools that allow you to quickly filter down to the datapoints you need. The NSDUH SAE tool allows you to quickly see data by state and substate areas. The Quick Statistics tool provides state profiles for TEDS, N-SSATS, and N-MHSS data.

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book. This book uses the basic structure of generic introduction to statistics course. However, in some ways I have chosen to diverge from the traditional approach. One divergence is the introduction of R as part of the learning process.

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Amstat News asked three review editors to rate their top five favorite books in the September issue. Statistical Methods for Reliability Data was among those chosen. Bringing statistical methods for reliability testing in line with the computer age This volume presents state-of-the-art, computer-based statistical methods for reliability data analysis and test planning for industrial.

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Data are characteristics or information, usually numerical, that are collected through observation. In a more technical sense, data is a set of values of qualitative or quantitative variables about one or more persons or objects, while a datum (singular of data) is a single value of a single variable.

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A list of resources available for that particular chapter. This document specifies the statistical quality standards for the U.S. Census Bureau. As the largest statistical agency of the federal government, the Census Bureau strives to serve as the leading source of quality data about the nation’s people and economy.

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Topics include statistical control, establishing limits of variability, measurements of physical properties and constants, and specification of accuracy and precision.