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Mean Evaluation definitions

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  • Standard Deviation
    Quantifies how closely grouped data points are around the average, with smaller values indicating higher measurement precision.
  • Mean
    Represents the average value of a data set, calculated by summing all measurements and dividing by their count.
  • Variance
    Represents the squared value of the standard deviation, reflecting overall data spread within a set.
  • Relative Standard Deviation
    Expresses standard deviation as a percentage of the mean, allowing comparison of variability across different data sets.
  • Coefficient of Variation
    Another term for relative standard deviation, used to compare precision between data sets with different units or means.
  • Precision
    Describes how closely repeated measurements agree with each other, regardless of their closeness to the true value.
  • Accuracy
    Indicates how close a measurement is to the actual or true value, distinct from how repeatable results are.
  • Degree of Freedom
    Refers to the number of independent values in a calculation, typically one less than the number of measurements.
  • Summation
    The process of adding together all individual measurement deviations from the mean, often used in statistical formulas.
  • Data Set
    A collection of individual measurements or values used for statistical analysis and calculation of averages and variability.
  • Measurement
    An individual value obtained during an experiment, contributing to the overall analysis of data precision and accuracy.
  • F Test
    A statistical method that compares variances to assess if two data sets have significantly different spreads.