Truncated Normal Distribution

Truncated Normal Statistical Distribution


General Characteristics

  • Truncated Normal Distribution is derived from a normally distributed random variable, by bounding the random variable from either below, above or both.
  • Truncations can be either; one-sided of lower tail truncation, one-sided of upper tail truncation or two-sided truncation.



Specific Characteristics

Key Measures:

Mean, Standard Deviation (SD), Lower Limit, Upper Limit


Range of values:

lower limit <= x < ∞ (if the lower limit is specified),
-∞ < x <= upper limit (if the upper limit is specified) &
lower limit <= x <= upper limit (if both limits are specified)



Mean = mean


Standard Deviation, SD:

SD = sd



Truncated Normal distributions can be used to find errors in dimensions of components, like its ‘parent’ distribution – Normal distribution, but avoids the Normal distribution problem of extreme values, especially negative values.





Truncated Normal Statistical Distribution – Statistical Distributions
Education | thetqweb