other · 2017

RANDOM ERROR THEORY

Cited by 0Abstract and details only

Abstract

This chapter focuses on the general theory of random errors. It discusses some simple methods that can be used to isolate blunders in sets of data. For any group of normally distributed measurements, the probability of the normal random variable can be computed by analyzing the integration of the distribution function. For any group of observations, the 50% probable error establishes the limits within which 50% of the errors should fall. In other words, any measurement has the same chance of coming within these limits as it has of falling outside them. Its value can be obtained by multiplying the observations' standard deviation by the appropriate t value. Standard errors and errors of other percent probabilities are commonly used to evaluate measurements for acceptance. Project specifications and contracts often require that acceptable errors be within specified limits such as the 90% and 95% errors.

Cite this paper

APA 7

Ghilani, C. D. (2017). RANDOM ERROR THEORY. https://doi.org/10.1002/9781119390664.ch3

MLA 9

Ghilani, Charles D. “RANDOM ERROR THEORY.” 2017, pp. 39–55, https://doi.org/10.1002/9781119390664.ch3.

Chicago

Ghilani, Charles D. 2017. “RANDOM ERROR THEORY.” https://doi.org/10.1002/9781119390664.ch3.

Harvard

Ghilani, C.D. (2017) ‘RANDOM ERROR THEORY’. Available at: https://doi.org/10.1002/9781119390664.ch3.

BibTeX

@misc{ghilani2017random,
  title = {{RANDOM ERROR THEORY}},
  author = {Ghilani, Charles D.},
  pages = {39--55},
  year = {2017},
  doi = {10.1002/9781119390664.ch3}
}

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