Please answer this question with as much detail as possible, using Poisson Distribution. Thank you
Question 5: a) Based on historical data, 9% of all logs arriving at a lumber mill are of suitable quality for use in timber frame construction. Also based on historical data, the average number of logs arriving at the mil per day is 33. Calculate, to the nearest %, the probability that 4 or more logs suitable for timber frame construction arrive at the mill on any given day. b) If 10 logs arriving at the mill are randomly selected, what is the probability, to the nearest %, that 4 or more of them will be suitable for timber frame construction? c) If a project requires 8 logs that are suitable for timber frame construction, what is the probability, to the nearest %, that enough of these logs arrive at the mill over the next 4 days?
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