Probability theory and stochastic processes Definition
Standard deviation
Builds on VarianceSquare root
Definition
Let be a real random variable with finite variance. The standard deviation of is the square root
Remarks
The standard deviation is in the same units as , but the variance is in squared units. For , . For the normal distribution , the standard deviation is . About of the mass lies within one standard deviation of the mean.
Reading path
To understand this page from the ground up, read these 50 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 bounded above definition
- Set definition
- Ring of integers statement
- Disjunction definition
- Implication definition
- Predicate definition
- Supremum definition
- Ordered pair definition
- Union definition
- Sample space definition
- The rationals form a field statement
- Existential quantifier definition
- Universal quantifier definition
- Completeness axiom statement
- Cartesian product definition
- Subset definition
- The rationals form an ordered field statement
- Uniqueness quantifier definition
- Existence of square roots of nonnegative reals statement
- Binary relation definition
- Universal set definition
- Order on the reals definition
- Power set definition
- Square root 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 space definition
- Random variable definition
- Discrete random variable definition
- Random variable with a density definition
- Expected value definition
- Variance definition
- Standard deviation definition
Where this leads
18 pages build on this one.
- Chebyshev's inequality
- Correlation coefficient
- Weak law of large numbers
- Kurtosis
- Strong law of large numbers
- 68–95–99.7 rule
- Skewness
- Ergodic decomposition
- Koksma–Hlawka inequality
- Consistency of the maximum likelihood estimator
- Kingman's subadditive ergodic theorem
- Asymptotic normality of the maximum likelihood estimator
- Monte Carlo integration
- Birkhoff's ergodic theorem
- Spearman's rank correlation coefficient
- Bootstrap
- Oseledets theorem
- Pesin theory
Further reading
- Web https://en.wikipedia.org/wiki/Standard_deviation, Definition of population values
About this page
| Tag | 0VTN5RKNC5 |
|---|---|
| URI | m2://0VTN5RKNC5 |
| Kind | definition |
| Writing | W1 stated |
| MSC | 60A05 |
| Defines | Standard deviation |
| Uses | Variance, Square root |
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