<prompt> The ideal data for stratified sampling:Heterogenous dataHomogenous dataBothNone  <response>: Stratified Random SamplingThe non-homogenous population is converted to homogenous groupsclasses strata; sample is drawn from each strata at random, in proportion to its size.Applicable for large non-homogeneous population.Gives a more representative sample than simple random sampling.None of the categories is under or over-represented.For example, In a population of 1000, a sample of 100 is to be drawn for Hemoglobin estimation; first convert non-homogenous population to homogenous strata i.e. 700 males and 300 females, then draw 70 males and 30 females randomly respectively. 