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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
Common Continuous Distributions
Uniform Distribution
Definition and Parameters
Probability Density Function
Cumulative Distribution Function
Mean and Variance
Applications
Random Number Generation
Modeling Uncertainty
Normal Distribution
Definition and Importance
Central Role in Statistics
Natural Occurrence
Parameters
Mean Parameter
Variance Parameter
Probability Density Function
Bell Curve Shape
Symmetry Properties
Standard Normal Distribution
Standardization Process
Z-tables and Usage
Probability Calculations
Properties of Normal Distribution
Linear Combinations
Reproductive Property
Tail Behavior
Normal Approximations
To Binomial Distribution
To Poisson Distribution
Continuity Correction
Applications
Measurement Errors
Natural Phenomena
Quality Control
Exponential Distribution
Definition and Context
Continuous Analog of Geometric
Waiting Times
Parameter and Notation
Probability Density Function
Cumulative Distribution Function
Mean and Variance
Memoryless Property
Statement and Proof
Practical Implications
Relationship to Poisson Process
Applications
Reliability Engineering
Queueing Systems
Survival Analysis
Gamma Distribution
Definition and Parameters
Shape Parameter
Rate Parameter
Scale Parameter Formulation
Probability Density Function
Mean and Variance
Special Cases
Exponential Distribution
Chi-squared Distribution
Gamma Function
Definition and Properties
Relationship to Factorials
Applications
Waiting Times
Bayesian Analysis
Chi-squared Distribution
Definition and Context
Sum of Squared Standard Normals
Degrees of Freedom
Probability Density Function
Mean and Variance
Properties
Reproductive Property
Relationship to Gamma Distribution
Applications
Goodness of Fit Tests
Variance Testing
Confidence Intervals
Student's t-Distribution
Definition and Context
Ratio of Normal to Chi-squared
Small Sample Inference
Degrees of Freedom Parameter
Probability Density Function
Mean and Variance
Relationship to Normal Distribution
Convergence as df Increases
Heavier Tails
Applications
Confidence Intervals
Hypothesis Testing
Small Sample Problems
F-Distribution
Definition and Context
Ratio of Chi-squared Variables
Analysis of Variance
Parameters
Numerator Degrees of Freedom
Denominator Degrees of Freedom
Probability Density Function
Mean and Variance
Properties
Reciprocal Property
Relationship to t-Distribution
Applications
ANOVA
Regression Analysis
Variance Comparison
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5. Common Discrete Distributions
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7. Joint Distributions and Dependence