On the Propagation of Statistical Errors for a Function of Several Variables

John Andraos
University of Ottawa, ON K1N 6N5 Canada
J. Chem. Educ., 1996, 73 (2), p 150
DOI: 10.1021/ed073p150
Publication Date (Web): February 1, 1996

Abstract

A simple general relationship is presented for the evaluation of the error in a function of several variables and its application to a range of chemical problems is illustrated.

Keywords (Audience):

Second-Year Undergraduate

Keywords (Domain):

Analytical Chemistry

Keywords (Subject):

Chemometrics

Citing Articles

View all 5 citing articles

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This article has been cited by 5 ACS Journal articles (5 most recent appear below).

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    Error Propagation Made Easy—Or at Least Easier

    George H. Gardenier, Feng Gui, and James N. Demas
    Journal of Chemical Education2011 Article ASAP
    • Error Propagation Made Easy—Or at Least Easier

      George H. Gardenier, Feng Gui, and James N. Demas
      Journal of Chemical Education2011 Article ASAP

      Complex error propagation is reduced to formula and data entry into a Mathcad worksheet or an Excel spreadsheet. The Mathcad routine uses both symbolic calculus analysis and Monte Carlo methods to propagate errors in a formula of up to four variables. ...

  • Cover Image

    Transition-Metal Nanocluster Size vs Formation Time and the Catalytically Effective Nucleus Number: A Mechanism-Based Treatment

    Murielle A. Watzky, Eric E. Finney and Richard G. Finke
    Journal of the American Chemical Society2008 130 (36), 11959-11969
    • Transition-Metal Nanocluster Size vs Formation Time and the Catalytically Effective Nucleus Number: A Mechanism-Based Treatment

      Murielle A. Watzky, Eric E. Finney and Richard G. Finke
      Journal of the American Chemical Society2008 130 (36), 11959-11969

      A mechanism-based equation for the size of a forming transition-metal nanocluster vs time has been derived based on the Finke−Watzky two-step mechanism for transition-metal nanocluster nucleation (A → B, rate constant k1) and autocatalytic growth (A + B → ...

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    Undergraduate Science and Engineering Students' Understanding of the Reliability of Chemical Data

    Bette Davidowitz , Fred Lubben , Marissa Rollnick
    Journal of Chemical Education2001 78 (2), 247
    • Undergraduate Science and Engineering Students' Understanding of the Reliability of Chemical Data

      Bette Davidowitz , Fred Lubben , Marissa Rollnick
      Journal of Chemical Education2001 78 (2), 247

      This study investigates the status of procedural knowledge of sophomore science and chemical engineering students in South Africa. Procedural knowledge includes collection, manipulation, and interpretation of experimental data. A piloted questionnaire was ...

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    Spreadsheet Calculation of the Propagation of Experimental Imprecision

    Robert de Levie
    Journal of Chemical Education2000 77 (4), 534
    • Spreadsheet Calculation of the Propagation of Experimental Imprecision

      Robert de Levie
      Journal of Chemical Education2000 77 (4), 534

      A spreadsheet is used to compute the propagation of imprecision, and a macro is described that will do this automatically.

  • Cover Image

    A Note on Covariance in Propagation of Uncertainty

    Edwin F. Meyer
    Journal of Chemical Education1997 74 (11), 1339
    • A Note on Covariance in Propagation of Uncertainty

      Edwin F. Meyer
      Journal of Chemical Education1997 74 (11), 1339

      It is pointed out that whenever both the slope and the intercept are used in calculating a physical quantity from a linear regression, propagation of error must include the covariance as well as the variances. The point is illustrated with a calculation ...

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History

  • Received: August 03, 2009

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