22
Apr
Explain Stratified Random Sampling. Sampling is a method used in statistical analysis in which a decided number of considerations are taken from a comprehensive population or a sample survey. Stratified sampling also known as stratified random sampling or proportional random sampling is a method of sampling that requires that all samples need to be grouped in accordance to some parameters and choosing samples from each such group instead of taking randomly from the entire population. For sampling the methodology used from an extensive population depends on the type of study being conducted. A stratified random sample is a population sample that requires the population to be divided into smaller groups called strata.
Stratified Sampling An important objective in any estimation problem is to obtain an estimator of a population parameter which can take care of the salient features of the population. This method is less expensive has administrative convenience provides greater precision and is most suitable for skewed universe. Stratified random sampling is more representative and beneficial against the bias of deliberate selection. Definition of Stratified Sampling. Random samples can be taken from each stratum or group. Random sampling is a method of choosing a sample of observations from a population to make assumptions about the population.
Stratified sampling is a type of probability sampling in which first of all the population is bifurcated into various mutually exclusive homogeneous subgroups strata after that a subject is selected randomly from each group stratum which are then combined to form a single sample.
After dividing the population into strata the researcher randomly selects the sample proportionally. In computational statistics stratified sampling is a method of variance reduction when Monte Carlo methods are used to estimate population statistics from a known population. Multistage Sampling in which some of the methods above are combined in stages Of the five methods listed above students have the most trouble distinguishing between stratified sampling. A stratified sample includes subjects from every subgroup ensuring that it reflects the diversity of your population. The strata is formed based on some common characteristics in the population data. For sampling the methodology used from an extensive population depends on the type of study being conducted.