Topics: Statistics
A measure of dispersion is a value that helps us describe how “disperse” is the mass of a variable.
The most common measures of dispersion are:
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- Bayes' Theorem
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- Bijective Linear Transformations
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- Bipartite Graph
- Bisection Method
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- Complete Digraph
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- Connected Digraph
- Connected Graph
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- Continuous Process
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- Continuous Vectorial Function
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- Diagonalisation of a Linear Transformation
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- Digraph
- Discounted Policy Improvement Method for MDPs
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- Discrete Uniform Distribution
- Dispersion Graph
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- Distance Between Two Lines
- Distance from a Plane to a Point
- Distribution Function
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- Divergence of a Vector Field
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- Exhaustive Enumeration Method for MDPs
- Expanded Subgraph
- Expected Amount of Bets Before Ruin in the Gambler's Ruin Problem
- Expected Long Term Cost for a Policy in an MDP
- Expected Total Cost of an MDP Starting from a State
- Expected Value
- Expected Value and Variance of the Mean of a Random Sample
- Expressing a Piecewise Function with Shifted Unit Step Functions
- F Distribution
- False Position Method
- Finite and Stationary Markov Chain
- First-Passage Time
- Floating Point Form of Real Numbers
- Forest
- Frequency
- Function
- Fundamental Theorems of the Laplace Transform
- Gambler's Ruin Problem
- Geometric Distribution
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- Handshaking Lemma
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- Increasing and Decreasing Sequence
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- Infinite Collection of Sets
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- Injective Linear Transformation
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- Interior Point
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- Inverse Linear Transformation
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- Laplace Transform
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- Law of Cosines
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- Length of a Path
- Level Set
- Likelihood Function
- Limit of a Sequence
- Limit of a Vector-Valued Function
- Limit Point
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- Linear Transformation Composition
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- Markov Process
- Markov Property
- Mathematical Model
- Matrix of a Relation
- Maximum Likelihood Method for Obtaining Estimators
- MDP as a Linear Programming Problem
- Mean Deviation
- Mean Squared Error
- Measure of Association
- Measure of Central Tendency
- Measure of Dispersion
- Measure of Shape
- Median
- Median for a Set of Frequencies
- Metric Space
- Minimal and Maximal
- Minimum and Maximum
- Mode
- Moment
- Moment-Generating Function
- Moment-Generating Function of the Sum of the Random Variables in a Random Sample
- Moments Method for Obtaining Estimators
- Multi-Edge
- Multidigraph
- Multiplication Principle
- n Step Transition Probability
- Newton's Divided Differences Interpolation Method
- Newton's Finite Differences Interpolation Method
- Norm
- Norm under Real Numbers
- Normal Distribution
- Normal Unit Vector
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- Normative Mathematical Model
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- Operations of Limits of Sequences
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- Orthogonal Projection of a Vector
- Orthogonal Transformation
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- Parallel Arcs
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- Parameter (Statistics)
- Parameter Set
- Parameter Space
- Partial Fraction Decomposition
- Partially Ordered Set
- Partition of a Sample Space
- Partition of a Set
- Path
- Path Concatenation
- Path Integral
- Path Integral Applications
- Pearson's Correlation Coefficient
- Permutation
- Permutations with Groups of Equal Elements
- Permutations with no Repetitions
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- Pigeonhole Principle
- Plane
- Plane Intersection
- Planes and Points
- Point Process
- Poisson Distribution
- Policy Improvement Method for MDPs
- Population
- Potential Function
- Powers of a Relation
- Probabilities with a Distribution Function
- Probability Measure
- Probability of Absorption
- Probability of an Event
- Probability of Ruin in the Gambler's Ruin Problem
- Probability Space
- Product of an Associated Matrix and a Coordinate Vector
- Product Rule
- Proper Subgraph
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- Properties of the Expected Value
- Pseudodigraph
- Qualitative Variable
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- Random Variable
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- Random Vector
- Random Walk
- Range (Measure of Dispersion)
- Range of a Function
- Real Numbers as a Vector Space
- Recurrence Time
- Recurring Arcs
- Regular Digraph
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- Relating Associated Matrices and Changes of Basis
- Relation
- Relations as a Set
- Relative Error
- Ring Sum of Graphs
- Root Vertex
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- Rounding Error
- Sample
- Sample Space
- Sample Statistic
- Sampling Distribution
- Sampling Distribution of the Variance of a Normally Distributed Random Sample
- Sampling Distribution of the Variance of a Normally Distributed Random Sample with an Unknown Expected Value
- Scientific Method in Statistics
- Secant Method
- Sequence
- Sequence of Random Variables
- Series
- Shifted Geometric Distribution
- Shifted Unit Step Function
- Simple Digraph
- Simple Graph
- Simple Trajectory
- Skewness
- Smooth Curve
- Stability of a Numerical Method
- Standard Deviation
- Standard Normal Distribution
- State Communication
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- Stationary Process
- Stationary Transition Probability
- Statistics
- Steady State Probability
- Stochastic Process
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- Strongly Connected Graph
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- Subsequence
- Successive Approximations Method for MDPs
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- Tangent Unit Vector
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- Total Probability Formula
- Transition Matrix
- Transition Probabilities in a Markov Chain
- Transition Probabilities in a Random Walk
- Transitory Set
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- Types of Digraphs
- Types of Graphs
- Types of Paths
- Types of Stochastic Processes
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- Unconditional Transition Probability
- Uniformly Minimum-Variance Unbiased Estimator
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- Unit Step Function
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- A Zettelkasten isn't Like Wikipedia
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