Probability theory and stochastic processes Definition
Chi-squared distribution
Builds on Normal distributionIndependent and identically distributed random variablesProbability density functionGamma distributionSample variance
Definition
Let be an integer and let be i.i.d. standard normal random variables. The chi-squared distribution with degrees of freedom, written , is the law of
Remarks
It has the density for , and for . So is the gamma distribution with shape and rate . If , then and . If and are independent, then . For an i.i.d. sample of size with sample variance , .
Reading path
To understand this page from the ground up, read these 77 pages in order. The foundations come first.
- Construction of the reals from Cauchy sequences concept
- Element definition
- Integers object
- Ordered field definition
- Proposition concept
- Random experiment concept
- Rational numbers object
- Real numbers object
- Set definition
- Ring of integers statement
- Disjunction definition
- Implication definition
- Predicate definition
- Ordered pair definition
- Union definition
- Sample space definition
- The rationals form a field statement
- Existential quantifier definition
- Universal quantifier definition
- Cartesian product definition
- Subset definition
- The rationals form an ordered field statement
- Uniqueness quantifier definition
- Binary relation definition
- Universal set definition
- Order on the reals definition
- Power set definition
- Complement definition
- Function definition
- Interval definition
- Indicator function definition
- Injective function definition
- Preimage of a set definition
- Sigma-algebra definition
- Countable set definition
- Event definition
- Borel sigma-algebra definition
- Probability axioms concept
- Probability measure definition
- Dirac measure definition
- Probability distribution definition
- Probability space definition
- Conditional probability definition
- Random variable definition
- Discrete random variable definition
- Cumulative distribution function definition
- Independence of two events definition
- Law of a random variable definition
- Random variable with a density definition
- Joint probability distribution definition
- Independence of two random variables definition
- Mutual independence of events definition
- Expected value definition
- Probability density function definition
- Identically distributed random variables definition
- Marginal distribution definition
- Variance definition
- Independent sigma-algebras definition
- Linearity of expectation statement
- Density of the normal distribution definition
- Exponential distribution definition
- Independence means the joint law is the product of the marginals statement
- Independence of random variables definition
- Covariance definition
- Normal distribution definition
- Gamma distribution definition
- Expectation of a product of independent random variables statement
- Variance of a sum statement
- Independent and identically distributed random variables definition
- Independent random variables are uncorrelated statement
- Statistic definition
- Variance of a sum of independent random variables statement
- Estimator definition
- Sample mean definition
- Bias of an estimator definition
- Sample variance definition
- Chi-squared distribution definition
Where this leads
14 pages build on this one.
- Chi-squared test
- Student's t-test
- Student's t-distribution
- Score test
- F-distribution
- Noncentral chi-squared distribution
- Kruskal–Wallis test
- Wishart distribution
- Empirical likelihood
- Cochran's theorem
- Independence of sample mean and sample variance for normal samples
- Hotelling's T-squared distribution
- Wald test
- Wilks' theorem
Further reading
- Web https://en.wikipedia.org/wiki/Chi-squared_distribution, Definitions
- Web https://en.wikipedia.org/wiki/Chi-squared_distribution, Probability density function
About this page
| Tag | 0RFMMBHFTV |
|---|---|
| URI | m2://0RFMMBHFTV |
| Kind | definition |
| Writing | W1 stated |
| MSC | 60E05, 62E15 |
| Defines | Chi-squared distribution |
| Uses | Normal distribution, Independent and identically distributed random variables, Probability density function, Gamma distribution, Sample variance |
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What links here
Used by
- Chi-squared test
- Student's t-distribution
- Score test
- F-distribution
- Noncentral chi-squared distribution
- Kruskal–Wallis test
- Wishart distribution
- Empirical likelihood
- Cochran's theorem
- Independence of sample mean and sample variance for normal samples
- Wald test
- Wilks' theorem