04
Oct
Define Stratified Sampling In Statistics. The strata is formed based on some common characteristics in the population data. A statistical sample obtained by breaking the universe down into smaller parts made up of relatively homogeneous units and taking a sample from each part. Stratified sampling - In this type of sampling method population is divided into groups called strata based on certain common characteristic like geography. A stratified sample includes subjects from every subgroup ensuring that it reflects the diversity of your population.
The basic idea behind the stratified sampling is to divide the whole heterogeneous population into smaller groups or subpopulations such that the sampling units are homogeneous with respect to the characteristic under study within the subpopulation and. Then samples are selected from each group using simple random sampling method and then survey is conducted on people of those samples. Stratified sampling can be viewed as being composed of three parts stratification sample allocation and sampling. With stratified sampling the researcher divides the population into separate groups called strata. Stratified sampling refers to a type of sampling method. Definition of Stratified Sampling Definition.
The strata are formed on the basis of the members shared attributes and characteristics.
Equivalently it is the assignment of each data element to a unique stratum. Stratified sampling is a type of sampling method in which the total population is divided into smaller groups or strata to complete the sampling process. In stratified random sampling or stratification the strata. Stratified sampling - In this type of sampling method population is divided into groups called strata based on certain common characteristic like geography. It is theoretically possible albeit unlikely that this would not happen when using other sampling methods such as simple random sampling. Stratified sampling refers to a type of sampling method.