In the full lesson
- Continuous Random Variables (definition)
- Key Difference (text)
- Examples (example)
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Module 3 · Distributions · Topic 2
Discrete vs Continuous
Discrete Random Variables. A discrete random variable takes countable values (e.g., 0, 1, 2, ...). Its probabilities are described by a probability mass function (PMF).
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Key formulas
From the Distributions formula sheet
- Binomial PMF:
P(X = k) = C(n,k)p^k(1-p)^(n-k)- Exact probability of k successes in n independent Bernoulli trials. - Z-Score:
z = (x - mu) / sigma- Standardizes a value by measuring standard deviations from the mean.
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