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10 cards from this deck
They model real-world situations and predict outcomes.
It models successes in a fixed number of independent trials.
When trials are fixed, independent, and have two outcomes.
P(X=k)=(nk)pk(1−p)n−kP(X = k) = \binom{n}{k} p^k (1-p)^{n-k}P(X=k)=(kn)pk(1−p)n−k.
It's continuous, symmetric, and bell-shaped around the mean.
68% within 1σ1\sigma1σ, 95% within 2σ2\sigma2σ, and 99.7% within 3σ3\sigma3σ.
Continuous data in a symmetric, bell-shaped distribution.
Z=(X−μ)/σZ = (X - μ) / σZ=(X−μ)/σ.
Use P(Z<z)P(Z < z)P(Z<z) values from the zzz-table for standard normal.
Identify the situation and fitting distribution.
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