• Observational error (or measurement error) is the difference between a measured value of a quantity and its unknown true value. Such errors are inherent...
    16 KB (2,134 words) - 18:17, 12 August 2024
  • Thumbnail for Margin of error
    the measure varies. The term margin of error is often used in non-survey contexts to indicate observational error in reporting measured quantities. Consider...
    13 KB (2,271 words) - 19:50, 23 August 2024
  • sample from its "true value" (not necessarily observable). The error of an observation is the deviation of the observed value from the true value of a...
    16 KB (2,168 words) - 18:00, 25 November 2023
  • Thumbnail for Observation
    presence Naturalistic observation Observation unit Observational astronomy Observational error Observational learning Observational study Observable quantity...
    14 KB (1,599 words) - 20:44, 4 April 2024
  • Thumbnail for Accuracy and precision
    Accuracy and precision are two measures of observational error: Accuracy measures how close a given set of observations are to their true value Precision...
    19 KB (2,262 words) - 09:13, 23 August 2024
  • common error). Independence of observational error from potential confounding effects. Exact or approximate normality of observations (or errors). Linearity...
    6 KB (703 words) - 05:54, 29 April 2024
  • In statistical hypothesis testing, a type I error, or a false positive, is the rejection of the null hypothesis when it is actually true. For example...
    31 KB (4,461 words) - 04:31, 7 August 2024
  • Thumbnail for Statistics
    conclusions from data that are subject to random variation (e.g., observational errors, sampling variation). Descriptive statistics are most often concerned...
    78 KB (8,770 words) - 10:56, 28 August 2024
  • Thumbnail for Artifact (error)
    In natural science and signal processing, an artifact or artefact is any error in the perception or representation of any information introduced by the...
    6 KB (676 words) - 13:19, 6 May 2024
  • Thumbnail for Total least squares
    Total least squares (category CS1 errors: missing periodical)
    least squares is a type of errors-in-variables regression, a least squares data modeling technique in which observational errors on both dependent and independent...
    20 KB (3,293 words) - 11:06, 20 May 2024