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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 Discrete Distributions
Bernoulli Distribution
Definition and Context
Single Trial Experiments
Success-Failure Outcomes
Parameters and Notation
Probability Mass Function
Mean and Variance
Applications and Examples
Binomial Distribution
Definition and Assumptions
Fixed Number of Trials
Independent Trials
Constant Success Probability
Parameters and Notation
Probability Mass Function
Binomial Coefficient Interpretation
Computational Aspects
Mean and Variance
Derivation Methods
Cumulative Distribution Function
Computational Methods
Table Usage
Applications
Quality Control
Survey Sampling
Medical Testing
Poisson Distribution
Definition and Context
Rare Events
Rate Parameter Interpretation
Probability Mass Function
Mean and Variance
Poisson Process Connection
Poisson Approximation to Binomial
Conditions for Approximation
Accuracy Assessment
Applications
Queueing Theory
Reliability Analysis
Epidemiology
Geometric Distribution
Definition and Context
Waiting Time to First Success
Negative Binomial Special Case
Probability Mass Function
Mean and Variance
Memoryless Property
Statement and Proof
Implications
Applications
Reliability Testing
Customer Service
Negative Binomial Distribution
Definition and Context
Waiting Time to r-th Success
Generalization of Geometric
Parameters and Notation
Probability Mass Function
Mean and Variance
Relationship to Other Distributions
Hypergeometric Distribution
Definition and Context
Sampling Without Replacement
Finite Population
Parameters and Notation
Probability Mass Function
Mean and Variance
Comparison with Binomial Distribution
Applications
Quality Control
Survey Sampling
Discrete Uniform Distribution
Definition and Context
Probability Mass Function
Mean and Variance
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4. Expectation and Moments
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6. Common Continuous Distributions