Sample mean
Builds on StatisticIndependent and identically distributed random variablesLinearity of expectationVariance of a sum of independent random variables
Definition
Let be real random variables, for example an i.i.d. sample. The sample mean is the statistic For observed values , the sample mean is the number .
Remarks
If the are i.i.d. with mean , then by linearity of expectation. So is an unbiased estimator of . If also , then . For i.i.d. variables, . By the law of large numbers, almost surely.
Reading path
To understand this page from the ground up, read these 65 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
- 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
- Probability distribution definition
- Probability space definition
- Conditional probability definition
- Random variable definition
- Discrete random variable definition
- Law of a random variable definition
- Independence of two events definition
- Random variable with a density definition
- Joint probability distribution definition
- Identically distributed random variables definition
- Expected value definition
- Mutual independence of events definition
- Independence of two random variables definition
- Marginal distribution definition
- Variance definition
- Linearity of expectation statement
- Independent sigma-algebras definition
- Independence means the joint law is the product of the marginals statement
- Covariance definition
- Independence of random variables definition
- Variance of a sum statement
- Independent and identically distributed random variables definition
- Expectation of a product of independent random variables statement
- Statistic definition
- Independent random variables are uncorrelated statement
- Variance of a sum of independent random variables statement
- Sample mean definition
Where this leads
44 pages build on this one.
- Method of moments
- Chi-squared test
- Maximum likelihood estimation
- Student's t-test
- Sample variance
- Confidence interval
- Student's t-distribution
- Chi-squared distribution
- Efficiency of an estimator
- Poisson regression
- Hodges' superefficient estimator
- Consistency of the maximum likelihood estimator
- M-estimator
- Score test
- Asymptotic normality of the maximum likelihood estimator
- F-distribution
- Sample mean and sample covariance
- Whittle likelihood
- Logistic regression
- Breakdown point
- Noncentral chi-squared distribution
- Behrens–Fisher problem
- Kruskal–Wallis test
- Wishart distribution
- Empirical likelihood
- Bayesian information criterion
- Cochran's theorem
- Jackknife
- Akaike information criterion
- Independence of sample mean and sample variance for normal samples
- Estimating equations
- Generalized method of moments
- Likelihood-ratio test
- Expectation–maximization algorithm
- Hotelling's T-squared distribution
- Wald test
- Generalized linear model
- Box–Jenkins method
- Binomial proportion confidence interval
- Neyman construction
- Wilks' theorem
- Frequentist inference
- Observed information
- Point estimation
Further reading
- Web https://en.wikipedia.org/wiki/Sample_mean_and_covariance, Definition of the sample mean
About this page
| Tag | 0QNRBHWV35 |
|---|---|
| URI | m2://0QNRBHWV35 |
| Kind | definition |
| Writing | W1 stated |
| MSC | 62F10 |
| Defines | Sample mean |
| Uses | Statistic, Independent and identically distributed random variables, Linearity of expectation, Variance of a sum of independent random variables |
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Used by
- Method of moments
- Maximum likelihood estimation
- Student's t-test
- Sample variance
- Confidence interval
- Student's t-distribution
- Efficiency of an estimator
- Hodges' superefficient estimator
- M-estimator
- Sample mean and sample covariance
- Breakdown point
- Independence of sample mean and sample variance for normal samples