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Statistics
Probability Theory and Distributions
1. Foundational Concepts of Probability
2. Conditional Probability and Independence
3. Random Variables and Their Properties
4. Expectation and Moments
5. Common Discrete Distributions
6. Common Continuous Distributions
7. Joint Distributions and Dependence
8. Transformations and Functions of Random Variables
9. Limit Theorems and Convergence
Expectation and Moments
Expected Value
Definition for Discrete Random Variables
Weighted Average Interpretation
Convergence Conditions
Definition for Continuous Random Variables
Integral Representation
Existence Conditions
Properties of Expectation
Linearity
Monotonicity
Expectation of Constants
Expectation of Functions of Random Variables
Law of the Unconscious Statistician
Discrete Case
Continuous Case
Variance and Standard Deviation
Definition of Variance
As Second Central Moment
Alternative Computational Formula
Properties of Variance
Non-negativity
Effect of Linear Transformations
Variance of Constants
Standard Deviation
Definition and Interpretation
Units and Scale
Standardization
Z-score Transformation
Properties of Standardized Variables
Higher Order Moments
Raw Moments
Definition and Notation
Relationship to Expectation
Central Moments
Definition and Properties
Relationship to Variance
Skewness
Third Standardized Moment
Interpretation and Meaning
Measures of Asymmetry
Kurtosis
Fourth Standardized Moment
Interpretation and Meaning
Excess Kurtosis
Moment Generating Functions
Definition and Existence
Mathematical Definition
Domain of Convergence
Existence Conditions
Properties of MGFs
Uniqueness Property
Moment Generation Property
Linear Transformation Property
MGFs of Common Distributions
Discrete Distributions
Continuous Distributions
Applications
Finding Moments
Proving Distribution Results
Sum of Independent Variables
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3. Random Variables and Their Properties
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5. Common Discrete Distributions