**Notecards:**

MATH 320

Central Limit Theorem

Chebyshev's Inequality

Conditional Probability

Correlation Coefficient

Covariance

Cumulative Distribution Function

Definition Of Probability

Expected Value (µ)

Independence

Joint Distributions

Method Of Conditioning

Method Of Cumulative Distribution Functions

Method Of Transformation

Misc

Moment Generating Functions

Probability Distribution

Probability Models

Special Discrete Distributions

Special Continuous Distributions

Variance (σ²)

Central Limit Theorem

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Chebyshev's Inequality

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Conditional Probability

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Correlation Coefficient

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Covariance

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Cumulative Distribution Function

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Definition Of Probability

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Expected Value (µ)

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Independence

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Joint Distributions

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Method Of Conditioning

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Method Of Cumulative Distribution Functions

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Method Of Transformation

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Moment Generating Functions

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Probability Distribution

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Probability Models

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Special Discrete Distributions

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Special Continuous Distributions

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Variance (σ²)

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**Course:**

Introduction To Probability

**Code:**

MATH 320

**School:**

Malaspina University-College

**Teacher:**

Phil Dauk

**Semester:**

Fall 2007

**Textbook:**

*A First Course In Probability* (7th edition) by Sheldon Ross