To perform this test, select
.For example, a traffic safety advocate claims that Elm Street, which has no sidewalks, has more traffic than nearby Main Street, which does have sidewalks. To prove their assertion, each weekday for a month the safety advocate counts the number of cars that travel on each street. These counts follow Poisson distributions, so they compare the amount of traffic on each street with a 2-sample Poisson rate test.
H_{0}: λ = λ_{0} | The difference between the population rates of two samples (λ) equals the hypothesized difference (λ_{0}). |
H_{1}: λ ≠ λ_{0} | The difference between the population rates of two samples (λ) is not equal to the hypothesized difference (λ_{0}). |
H_{1}: λ > λ_{0} | The difference between the population rates of two samples (λ) is greater than the hypothesized difference (λ_{0}). |
H_{1}: λ < λ_{0} | The difference between the population rates of two samples (λ) is less than the hypothesized difference (λ_{0}). |