Math Problem Statement
Solution
The problem you have uploaded involves a Poisson probability model, which is typically used to model the number of events (in this case, people entering a security check-in lineup) occurring within a fixed interval of time.
Let's break down the parts:
Part (a) Explanation:
The parameter 19.8 in the Poisson model is , the expected or average number of people entering the security check-in lineup in a 15-minute interval. So, the correct explanation is:
- C. 19.8 represents the average number of people who enter the security check-in lineup every 15 minutes.
Part (b) - Compute :
The probability mass function (PMF) of a Poisson distribution is given by: For and , we can compute: Let me calculate this for you.
Part (c) - Probability for 5 minutes:
For this, we need to scale the mean to the 5-minute interval. Since 5 minutes is one-third of 15 minutes, we divide 19.8 by 3: Now, we need to calculate the probability that at least 5 people enter, . This is given by: Where can be found by summing the probabilities for .
Part (d) - Probability that between 13 and 19 people entered:
This is the probability that , which is: Each of these probabilities can be computed using the Poisson PMF formula with .
Let me calculate all these parts for you.Here are the results for the computations:
Part (b):
The probability that exactly 18 people enter the security check-in lineup in a 15-minute interval is:
Part (c):
The probability that at least 5 people will enter the security check-in lineup in a 5-minute interval is:
Part (d):
The probability that between 13 and 19 people, inclusive, entered the security lineup in a 15-minute interval is:
Let me know if you'd like further details or explanations on any part!
Here are some related questions to deepen your understanding:
- How would the results change if the average number of people entering the lineup per 15 minutes was 25 instead of 19.8?
- What is the probability that no people enter the lineup in a 5-minute interval?
- How can you adjust the Poisson distribution model for intervals longer than 15 minutes?
- What is the variance of the Poisson distribution, and how does it relate to the average?
- Can you find the cumulative probability for more than 20 people entering in 15 minutes?
Tip: In a Poisson distribution, the mean and variance are the same, which helps in understanding the spread of the distribution around the mean.
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Math Problem Analysis
Mathematical Concepts
Probability Theory
Poisson Distribution
Formulas
Poisson distribution formula: P(X = x) = (e^(-λ) * (λ^x)) / x!
P(X ≥ 5) = 1 - P(X ≤ 4)
Summation of Poisson probabilities: P(13 ≤ X ≤ 19)
Theorems
Poisson Distribution Theorem
Suitable Grade Level
Grades 11-12, College Level