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Binomial Probability: Find the Chance 22 of 30 90% Germination Sunflower Seeds Grow
Mathematics (Probability)
Grade 11 (Senior High School)
Question Content
Carol's Seed Haven claims that 90% of its sunflower seeds will germinate. Suppose that a company orders a case. Siti buys a packet with 30 sunflower seeds from Carol's Seed Haven and plants them in her garden. What is the probability that exactly 22 seeds will germinate?
Correct Answer
0.0208
Detailed Solution Steps
1
Step 1: Identify this as a binomial probability problem, since we have independent trials (each seed germinating is independent), a fixed number of trials (n=30), two outcomes (germinate or not), and a constant success probability (p=0.9, where success = seed germinates).
2
Step 2: Recall the binomial probability formula: $P(X=k) = C(n,k) \times p^k \times (1-p)^{n-k}$, where $C(n,k)$ is the combination of n things taken k at a time.
3
Step 3: Define the values: n=30, k=22, p=0.9, so 1-p=0.1.
4
Step 4: Calculate the combination $C(30,22) = C(30,8) = \frac{30!}{22!8!} = 5852925$.
5
Step 5: Compute $p^k = 0.9^{22} \approx 0.1060449937$, and $(1-p)^{n-k} = 0.1^{8} = 0.00000001$.
6
Step 6: Multiply the three values together: $5852925 \times 0.1060449937 \times 0.00000001 \approx 0.0208$.
Knowledge Points Involved
1
Binomial Probability Distribution
A discrete probability distribution that models the number of successes in a fixed number of independent Bernoulli trials, each with the same constant probability of success. It is used when: there are a fixed number of trials, each trial has two mutually exclusive outcomes (success/failure), the probability of success is constant, and trials are independent.
2
Combination Calculations
A mathematical calculation that finds the number of ways to choose k items from a set of n items without regard to order, denoted as $C(n,k)$ or $_nC_k$. The formula is $C(n,k) = \frac{n!}{k!(n-k)!}$, where $n!$ (n factorial) is the product of all positive integers up to n.
3
Discrete Probability Outcomes
Refers to probabilities of specific, countable results in a probability experiment. For binomial problems, this includes calculating the probability of exactly k successes, as opposed to cumulative probabilities (e.g., at most k successes).
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