Random Variables

What are Continuous Random Variables? (1 of 3: Relation to discrete data).
What are Continuous Random Variables? (2 of 3: Why we need different tools).
What are Continuous Random Variables? (3 of 3: Conditions for a Probability Density Function).
Probability Density Functions (1 of 7: Meeting the conditions).
Probability Density Functions (2 of 7: Evaluating a probability).
Probability Density Functions (3 of 7: Unknowns in the function).
Probability Density Functions (4 of 7: Domain restrictions).
Probability Density Functions (5 of 7: Reviewing integration skills).
Probability Density Functions (6 of 7: Unbounded integrals).
Probability Density Functions (7 of 7: Uniform distributions).
Mode & Median of a Continuous Probability Distribution.
Locating Boundaries of a Distribution from its Median.
Finding Percentiles of a Continuous Probability Distribution.
Expected Value of a Continuous Distribution (1 of 2: Relation to discrete data).
Expected Value of a Continuous Distribution (2 of 2: Worked example).
Probability Density Functions Q&A (1 of 2: Evaluating probabilities).
Probability Density Functions Q&A (2 of 2: Two approaches to an unbounded probability).
Variance (1 of 4: Introducing the formulas).
Variance (2 of 4: Worked example with first formula).
Variance (3 of 4: Worked example with second formula).
Variance (4 of 4: Proof of two formulas).
Cumulative Distribution Function (2 of 3: Evaluating probabilities).
Cumulative Distribution Function (1 of 3: Definition).
Cumulative Distribution Function (3 of 3: Locating quantiles).
Probability Density Functions Q&A (1 of 2: Evaluating probabilities).
Probability Density Functions Q&A (2 of 2: Two approaches to an unbounded probability).
What is the Normal Distribution?.
Normally Distributed Empirical Data (1 of 2: Comparing marathon times).
Normally Distributed Empirical Data (2 of 2: Calculating population proportions).
Probability Density Function of the Normal Distribution.
Trapezoidal Rule on Normal Distribution (1 of 2: Reviewing the formula).
Trapezoidal Rule on Normal Distribution (2 of 2: Verifying empirical result).
Integrating Normal Distribution with Technology (1 of 2: One-sided inequality).
Integrating Normal Distribution with Technology (2 of 2: Contrasting populations).
Statistical Tables (1 of 2: How to interpret values).
Statistical Tables (2 of 2: Combining results).
Variance on a Modified Distribution (1 of 2: Worked example).
Variance on a Modified Distribution (2 of 2: Investigating the modifications).