In the full lesson
- Normal PDF (formula)
- Empirical Rule (68-95-99.7) (text)
- Real-World Example (example)
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Module 3 · Distributions · Topic 6
Normal Distribution Intro
The Normal Distribution. The normal (Gaussian) distribution is a continuous, symmetric, bell-shaped distribution defined by its mean (μ) and standard deviation (σ). It is the most important distribution in statistics.
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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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