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NotesMath AITopic 4.8Binomial Calculations
Back to Math AI Topics
4.8.21 min read

Binomial Calculations

IB Mathematics: Applications and Interpretation • Unit 4

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Contents

  • Calculating single and cumulative probabilities
  • Cumulative binomial probabilities
  • Complementary probabilities
  • Between probabilities and applications

Binomial probability calculations

Worked example: P(X=r)

B(20, 0.3): Find P(X=5).

Solution

  1. Use formula or GDC (calculator)
  2. P(X=5)=C(20,5)×0.3⁵×0.7¹⁵
  3. Calculator gives ≈0.179

Final answer

P(X=5)≈17.9%. Use binomial function on calculator.

In exam: State n, p, r clearly.

Show formula.

Use GDC.

Write answer as decimal or percent.

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Cumulative probabilities

Notation: P(X≤r): probability of r or fewer successes.

P(X<r): fewer than r.

P(X≥r): r or more.

Worked example

B(20,0.3): Find P(X≤3).

Solution

  1. P(X≤3)=P(X=0)+P(X=1)+P(X=2)+P(X=3)
  2. Or use cumulative function on GDC
  3. P(X≤3)≈0.107

Final answer

P(X≤3)≈10.7%.

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Using complements

Strategy: P(X≥r) = 1 - P(X≤r-1).

Often easier to calculate complement.

Worked example

B(20,0.3): Find P(X>5).

Solution

  1. P(X>5)=1-P(X≤5)
  2. Find P(X≤5) using cumulative function
  3. P(X≤5)≈0.581
  4. P(X>5)=1-0.581=0.419

Final answer

P(X>5)≈41.9%. Complement easier than summing.

Bounded probabilities

P(r≤X≤s): Between two values: find P(X≤s) - P(X≤r-1).

Worked example

B(20,0.3): Find P(3≤X≤8).

Solution

  1. P(3≤X≤8)=P(X≤8)-P(X≤2)
  2. Use cumulative function twice
  3. ≈0.887-0.035=0.852

Final answer

P(3≤X≤8)≈85.2%.

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$X \sim B(12,\ 0.25)$

Find the mean of . [1 mark]

Related Math AI Topics

Continue learning with these related topics from the same unit:

4.1.1Population and Samples
4.1.2Data Classification
4.1.3Sampling Techniques
4.1.4Data Reliability and Outliers
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