Tables of a Truncated Standard Normal Distribution: A Singly Truncated Case
Mohammad T. Khasawneh, Shannon R. Bowling, Sittichai Kaewkuekool, Byung Rae Cho
Abstract
Mohammad T. Khasawneh, Shannon R. Bowling, Sittichai Kaewkuekool, Byung Rae Cho
Abstract
A normal distribution has a unique position in many engineering fields, and the standard normal distribution table has been widely used for more than a century. There are many situations, however, in which a truncated normal distribution needs to be considered. Although the theoretical foundations of the truncated normal distribution are well established, there has been little work on tabulating the characteristics associated with the truncated normal distribution, such as a cumulative probability, a truncated mean, and a truncated variance. In this article, we provide tables for a singly truncated normal distribution, which may be useful for quality practitioners.
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A normal distribution has a unique position in many engineering fields, and the standard normal distribution table has been widely used for more than a century. There are many situations, however, in which a truncated normal distribution needs to be considered. Although the theoretical foundations of the truncated normal distribution are well established, there has been little work on tabulating the characteristics associated with the truncated normal distribution, such as a cumulative probability, a truncated mean, and a truncated variance. In this article, we provide tables for a singly truncated normal distribution, which may be useful for quality practitioners.
Key concepts: Truncated normal distribution, Normal distribution, Distribution (mathematics), Inverse-chi-squared distribution, Variance-gamma distribution, Statistics, Log-normal distribution, Distribution fitting