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Unit 12 · 2.8

Binomial distribution

binomialpdf for exactly; binomialcdf lower/upper for ranges

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Rule cards

Is it binomial?

Binomial when: 2 outcomes · fixed n trials · independent (with replacement or a %) · same p each time. P(X) = C(n, X) · pˣ · (1 − p)ⁿ⁻ˣ.

P(X) = C(n, X) pˣ (1 − p)ⁿ⁻ˣ (P(X = x) = ₙCₓ pˣ qⁿ⁻ˣ)

  1. Unusual if P < 0.05.
  2. Guessing 20 questions, 5 choices (p = .2), at least 15 right = 1.8E−7 ≈ 0 → unlikely.
Traps
  • Used the failure probability as p.
    brown eyes 85% → p = .15
    ✓ p = probability of the thing you count = .85
  • Left out C(n, X).
    exactly 1 of 6 → (.85)(.15)⁵
    ✓ C(6,1)(.85)(.15)⁵ = .000387
  • Left out (1 − p)ⁿ⁻ˣ.
    C(6,1)(.85)
    ✓ × (.15)⁵
TI-84 Evo keys

binomialcdf: wording → lower and upper

Translate the words into the lower and upper values before typing anything; 'between a and b' includes both ends.

  1. exactly k → binomialpdf(n, p, k)
  2. at most k (≤ k) → cdf lower 0, upper k
  3. less than k (< k) → cdf lower 0, upper k − 1
  4. at least k (≥ k) → cdf lower k, upper n
  5. more than k (> k) → cdf lower k + 1, upper n
  6. between a and b → cdf lower a, upper b (both ends in): 33 to 35 → .155 (exam Q30)
Traps
  • Included or excluded an endpoint wrongly.
    more than 5 → lower 5
    ✓ more than 5 → lower 6, upper n; less than 5 → lower 0, upper 4
  • Computed the opposite tail.
    at least 25 of 50 → lower 0, upper 24 = .076
    ✓ lower 25, upper 50 = .924 (exam Q29)
  • Used pdf for a range.
    at least 25 → binomialpdf(50,.59,25)
    ✓ a range always means cdf
  • Used cdf for 'exactly'.
    exactly 30 → cdf 0 to 30
    ✓ exactly → binomialpdf = .113
TI-84 Evo keys

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