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Use the geometric distribution to model the number of trials until the first success.
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The geometric distribution models the number of trials needed to achieve the first success in a sequence of independent Bernoulli trials.
Key Difference from Binomial:
For X = number of trials until first success:
A player makes a free throw with probability 0.8. What is the probability their first miss occurs on the 3rd attempt?
Geometric: first two attempts succeed (make), third fails (miss). P(X=3) = (0.8)ยฒ ร (0.2) = 0.64 ร 0.2 = 0.128. There is a 12.8% chance the first miss happens on shot 3.
A quality-control inspector finds a defective item with probability 0.05 per item inspected. Find E(X) where X is the trial number of the first defect found.
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where:
A basketball player makes 60% of free throws. What is the probability that her first made free throw occurs on the 3rd attempt?
Given: p = 0.60, k = 3
Calculation:
Interpretation: There is a 9.6% chance her first made free throw occurs on the 3rd attempt (meaning she misses the first two and makes the third).
Mean: attempts on average
Use geometric distribution when:
Geometric problems often appear in free-response questions about quality control, customer service (first complaint), or medical applications (first positive test). Watch for cumulative probability questions: requires summing individual probabilities or recognizing the cumulative geometric formula.
For geometric with parameter p = 0.05, the expected number of trials until first success is E(X) = 1/p. E(X) = 1/0.05 = 20. On average, the inspector will inspect 20 items before finding the first defective one.
A roulette wheel lands on red with probability 18/38. Let X = number of spins until first red. Find P(X โค 5) and interpret.
P(X โค 5) = P(X=1) + P(X=2) + P(X=3) + P(X=4) + P(X=5). p = 18/38 โ 0.474, so 1-p โ 0.526. P(X=k) = (0.526)^{k-1}(0.474). P(X=1) โ 0.474, P(X=2) โ 0.249, P(X=3) โ 0.131, P(X=4) โ 0.069, P(X=5) โ 0.036. P(Xโค5) โ 0.959. Nearly 96% chance of seeing red within the first 5 spins.