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3 cards from this section. Quick, good the night before a test.
Define traffic flow in your own words.
Think about why traffic management is important.
What does λ represent in the context of traffic?
It's about expectations in traffic.
What does λ represent in the Poisson distribution?
It relates to predictions, not counts.
True or False: The Poisson distribution is primarily used for continuous data.
Think of what kind of data it represents.
A city traffic report states that on average, 120 vehicles arrive at a major intersection every hour. Using the Poisson distribution, calculate the probability of exactly 100 vehicles arriving in the next hour.
Focus on calculating e^(-120), then compute (120^100) and divide by 100!.
Design a simple experiment to observe traffic flow at a local intersection. Collect data for one hour and analyze it using the Poisson distribution. What insights can be derived?
Think about how often cars arrive and how you can use that to predict future arrival rates.
6 more questions in this section. Enroll free to practise them all.
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