The probit function converts a probability, a number between 0 and 1, into a score expressing how many standard deviations that value lies from the mean of a standard normal distribution; a probability of 0.5 corresponds to a probit of 0, while a probability of 0.025 corresponds to a probit of about negative 1.96. Formally, the probit is the quantile function, the inverse of the cumulative distribution function, of the standard normal distribution. It originated in toxicology, where it was used to analyze dose-response relationships such as how the effectiveness of a pesticide changes with dose, and it remains central to probit models, a form of regression analysis for binary outcomes, as well as to the construction of Q-Q plots used to check whether a data set follows a normal distribution.
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Source Probit (Wikipedia)
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1. Probit (Wikipedia)
Lead section
In statistics, the probit function converts a probability (a number between 0 and 1) into a score.
Article text
The idea of the probit function was published by Chester Ittner Bliss in a 1934 article in Science on how to treat data such as the percentage of a pest killed by a pesticide.
In Branch: Probability and Statistics, Lead sentence
In statistics, the probit function converts a probability (a number between 0 and 1) into a score.
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