The number of chocolate chips in a chocolate chip cookie has a Poisson distribution with parameter λ = 7.3. Suppose that the random variable X is the number of chocolate chips in a randomly selected chocolate chip cookie. Let Y be the total number of chocolate chips in 4 randomly selected chocolate chip cookies. The Poisson distribution is very useful in analyzing phenomena which occur randomly in space or time.. a. For our model, what is expected value of X? b. What is the probability that X = 9? c. What is the probability that X > 9? d. What is the probability that X >8?

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A: From the given information we find the probability using normal distribution.

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A: General formula of probability is ,   Probability = Number of favorable outcomes Total outcomes

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Q: bability of winning each project. ependent. Profit Project A $75,000 Proiect R $120.000 с

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A: when X~Pois(λ) P(X=x)=e-λ λx/x! ; x=0,1,2,...

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Q: One student is randomly selected at random from a class with 11 girls and 12 boys. What is the…

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Q: 36, 34, 30, 28, 24, ....?

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A: From the provided information, Mean (µ) = 94 km/hr Standard deviation (σ) = 12 km/hr X~N (94, 12)

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