A sampling technique where the researcher divides the population into small groups called strata based on the similar characteristics from the population data. The final sample is then randomly selected from the sub-groups of each stratum. The number from each strata is according to the proportion of the population size.
Stratified sampling is different from simple random sampling which is used when very little information is available about the population. The strata are developed on the basis of gender, age, income, family members, or education level. The data in each stratum should not overlap each other.
Define stratified sampling and explain its importance in auditing. How can
The following questions relate to determining sample size in tests of details
Theaccountsofafirmhavebeenclassifiedinto56large accounts, 956 medium-sized accounts, and 16,
Use stratified sampling with 100 trials to improve the estimate of in
Describe how to apply stratified sampling to sample from the
Suppose a political strategist wants to get a sense of how American
In the article “Randomized Stratified Sampling Methodology for Water Quality in
Describe a circumstance in which stratified sampling would be an appropriate sampling
Carol Harrod is the investment officer for a $100 million U
Surveys that combine one or more of simple random sampling, systematic
