Final answer:
Calculating probabilities with the Poisson distribution involves summing individual probabilities for exact numbers or using cumulative functions for ranges. With a mean of 9, P(X ≤ 5) and P(6 ≤ X ≤ 9) are calculated using the poissoncdf function.
Step-by-step explanation:
The student's question pertains to calculating probabilities using the Poisson distribution, specifically with a mean (λ) of 9. To find the probability of the number of tornadoes observed being less than or equal to 5, we need to calculate P(X ≤ 5). We do this by calculating the sum of probabilities from X = 0 to X = 5 using the poissoncdf function.
For the range where the number of tornadoes observed is between 6 and 9, inclusive, we need to calculate P(6 ≤ X ≤ 9). This can be done by finding the cumulative probability up to 9 and then subtracting the cumulative probability up to 5 from it: P(X ≤ 9) - P(X ≤ 5).
Remember that the Poisson distribution assumes that X must be a whole number, and the calculations can often be made using statistical software or a calculator with statistical functions.