# Type I Error

## Definition of Type I Error

Type I error: A type I error, also known as a false positive error, is the incorrect rejection of a true null hypothesis.

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# Type I Error

## Definition of Type I Error

*Related*

## Similar Posts

### Scientific Notation

### Markov Chain

### Functional Programming

### Prior Distribution

Type I error: A type I error, also known as a false positive error, is the incorrect rejection of a true null hypothesis.

ByDavis

Definition of Scientific Notation Scientific Notation: Scientific notation is a way of representing very large or very small numbers. In scientific notation, a number is written as a product of two factors: a coefficient and a power of 10. The coefficient is a number between 1 and 10 that multiplies the power of 10. The…

ByDavis

Definition of Markov Chain A Markov chain is a mathematical model for sequences of random events, where the probability of any event depends only on the immediately preceding event. How is Markov Chain used? Markov Chain is a type of machine learning algorithm that uses probability to model complex systems. It is based on the…

ByDavis

Definition of Functional Programming Functional Programming: Functional programming is a style of programming in which the programmer focuses on functions instead of objects. In functional programming, functions are treated as first-class citizens, meaning they can be passed around and used like any other variable. Functional programming languages typically emphasize simplicity and purity, meaning that functions…

ByDavis

Definition of Prior Distribution A prior distribution is a probability distribution that is used to assign a probability to each outcome in a problem before any data is observed. This distribution is usually chosen based on experience or intuition.