Let \(X_1,X_2,\ldots ,X_n\) be independent random variables. We assume that \(X_i\) has a Poisson\((\lambda _i)\) distribution. We wish to test \[ H_0:\lambda _1=\lambda _2=\cdots =\lambda _n \] against the alternative \[ H_A:H_0\text { is not true.} \]
- Show that the likelihood ratio test and the \(\chi ^2\) tests are equivalent under \(H_0\). (15 points)
- Explain why and how the normal as well as the \(\chi ^2\) distributions can be used to approximate the critical values. (5 points)