Formulating an Efficient Statistical Test Using the Goodness of Fit Approach with Applications to Real-life Data

Statistical tests are very important for researchers to make decisions. In particular, when the non- parametric, they of greater importance because can be applied a wide range data sets regardless knowing distribution these data. Researchers therefore racing obtain efficient making good decisions based on results tests. this study, NBU (2)L was used goodness fit approach present an statistical test. The efficiency proposed test computed, and were compared those other Critical values computed tabulated, power estimated. Finally, applicable both real, complete censored