Skip to main content
Back

Types of Errors definitions

Control buttons has been changed to "navigation" mode.
1/14
  • Experimental Error
    Uncertainty present in all measurements, reflecting the inherent limitations of any experimental process.
  • Indeterminate Error
    Variation in results caused by uncontrollable factors, leading to unpredictable and non-reproducible outcomes.
  • Random Error
    Fluctuations in measured values with no consistent pattern, sometimes higher or lower than the true value.
  • Determinant Error
    Consistent deviation from the true value due to flaws in equipment or procedure, always in the same direction.
  • Systematic Error
    Reproducible inaccuracy that skews results in a predictable way, often correctable once identified.
  • Uncertainty
    Degree of doubt in a measurement, reflecting the range within which the true value is expected to lie.
  • Magnitude
    Size or extent of deviation from the expected value, which can be positive or negative in errors.
  • Reproducibility
    Ability to obtain consistent results under unchanged conditions, lacking in random errors but present in systematic errors.
  • Correction
    Adjustment applied to measurements to account for known biases, reducing systematic error.
  • Measurement
    Process of obtaining a quantitative value for a property, always subject to some level of error.
  • Machinery
    Equipment used in experiments, which can introduce consistent errors if flawed.
  • Experimental Design
    Planned structure of an experiment, where flaws can lead to systematic errors.
  • Positive Deviation
    Measured value consistently higher than the true value, often due to systematic error.
  • Negative Deviation
    Measured value consistently lower than the true value, indicating a systematic bias.