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 = mean

 

Standard Deviation, SD:

SD = sd

 

Application

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
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