The article introduces a new method called Composite φ-divergence test statistics to test hypotheses in complex situations where traditional methods are difficult to apply. By combining likelihoods of different variables, researchers can now use this method to test simple or complex hypotheses more effectively. The new approach helps in situations where datasets are large or models are too complex, providing a solution to the problem of hypothesis testing in such scenarios.