This　article　presents　procedures　for　testing　hypothesis　and　interval　estimation　of　the　common　mean　vector　in　MANOVA　models　when　the　covariance　matrices　are　unknown　and　unequal.　The　methods　are　based　on　the　concepts　of　generalized　p-value　and　generalized　confidence　interval.　Some　important　statistical　properties　of　the　exact　test　and　confidence　region　are　given.　For　two　multivariate　normal　populations,　a　minor　modification　to　the　combined　tests　given　by　Zhou　and　Mathew　(1994a)　is　proposed.　Some　simulation　results　to　compare　the　performance　of　the　proposed　tests　with　others　are　reported.　The　simulation　results　indicate　that　new　tests　have　significant　gain　in　the　power.