Combining independent Poisson counts · Short practice
Check a final answer, then explain the reasoning on paper. Guest progress stays in this browser; an account saves future checks without overwriting your first result.
Recall
Independent Poisson counts — objective 1
Maths4U Original · Short practice
Independent one-hour counts have \(\displaystyle X\sim\operatorname{Po}(5),\ Y\sim\operatorname{Po}(\frac{7}{2})\). Both arise from constant-rate Poisson processes.
Find the mean of X+Y.
Enter one number or fraction. Use at least six decimal places when needed; a distribution calculator may be used for probabilities.
Fresh review variant
Independent Poisson counts — objective 1
Maths4U Original · Short practice
Independent one-hour counts have \(\displaystyle X\sim\operatorname{Po}(\frac{16}{3}),\ Y\sim\operatorname{Po}(\frac{15}{4})\). Both arise from constant-rate Poisson processes.
Find the mean of X+Y.
Enter one number or fraction. Use at least six decimal places when needed; a distribution calculator may be used for probabilities.
Method
Independent Poisson counts — objective 2
Maths4U Original · Short practice
Independent one-hour counts have \(\displaystyle X\sim\operatorname{Po}(\frac{16}{3}),\ Y\sim\operatorname{Po}(\frac{15}{4})\). Both arise from constant-rate Poisson processes.
Find the variance of X−Y.
Enter one number or fraction. Use at least six decimal places when needed; a distribution calculator may be used for probabilities.
Fresh review variant
Independent Poisson counts — objective 2
Maths4U Original · Short practice
Independent one-hour counts have \(\displaystyle X\sim\operatorname{Po}(\frac{17}{3}),\ Y\sim\operatorname{Po}(4)\). Both arise from constant-rate Poisson processes.
Find the variance of X−Y.
Enter one number or fraction. Use at least six decimal places when needed; a distribution calculator may be used for probabilities.
Apply
Independent Poisson counts — objective 3
Maths4U Original · Short practice
Independent one-hour counts have \(\displaystyle X\sim\operatorname{Po}(\frac{17}{3}),\ Y\sim\operatorname{Po}(4)\). Both arise from constant-rate Poisson processes.
Find \(\displaystyle P(X+Y=0)\).
Enter one number or fraction. Use at least six decimal places when needed; a distribution calculator may be used for probabilities.
Fresh review variant
Independent Poisson counts — objective 3
Maths4U Original · Short practice
Independent one-hour counts have \(\displaystyle X\sim\operatorname{Po}(6),\ Y\sim\operatorname{Po}(\frac{17}{4})\). Both arise from constant-rate Poisson processes.
Find \(\displaystyle P(X+Y=0)\).
Enter one number or fraction. Use at least six decimal places when needed; a distribution calculator may be used for probabilities.
Check understanding
Independent Poisson counts — objective 4
Maths4U Original · Short practice
Independent one-hour counts have \(\displaystyle X\sim\operatorname{Po}(6),\ Y\sim\operatorname{Po}(\frac{17}{4})\). Both arise from constant-rate Poisson processes.
Find the mean combined count over two hours.
Enter one number or fraction. Use at least six decimal places when needed; a distribution calculator may be used for probabilities.
Fresh review variant
Independent Poisson counts — objective 4
Maths4U Original · Short practice
Independent one-hour counts have \(\displaystyle X\sim\operatorname{Po}(\frac{19}{3}),\ Y\sim\operatorname{Po}(\frac{9}{2})\). Both arise from constant-rate Poisson processes.
Find the mean combined count over two hours.
Enter one number or fraction. Use at least six decimal places when needed; a distribution calculator may be used for probabilities.