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Method used to divide a population into homogeneous subgroups (strata). Each stratum is then sampled individually. The auditor may separately evaluate the sample results or may combine them to furnish an estimate of the characteristics of the total population. When very high- or low-value items are segregated into separate populations, each population is more homogeneous. A more representative sample can be derived from a relatively homogeneous population. Hence, fewer items need to be examined when several strata are examined separately than when the entire population is evaluated. Stratification improves the sampling process and enables auditors to relate sample selection to the materiality and turnover of items. Various audit procedures may be applied to each stratum, depending on the circumstances. An example of stratified sampling occurs when total accounts receivable (population) is divided into groups based on dollar balances for confirmation purposes. An illustration follows:
Stratification may not be by dollar amount only but also by type of transaction and by transaction frequency. Stratification is suggested when the characteristic under audit examination varies materially within different portions of the population. This approach is employed typically in variables sampling and often in attributes sampling.
from: BORONGAN EASTERN SAMAR: sHINJI OF EGG FORCE
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Compare the efficiency of simple random sampling with systematic random sampling for estimating the population mean and give your comments?
Compare the efficiency of simple random sampling with systematic random sampling for estimating the population mean and give your comments.
What is the Difference between random and systematic sampling?
Random sampling is picking a subject at random. Systematic sampling is using a pattern to pick subjects, I.e. picking every third person.
Mention different types of sampling in statistics.?
Simple Random Sample Stratified Random Sampling Cluster Sampling Systematic Sampling Convenience Sampling
What is the advantages of Systematic Random Sampling?
efficiency
What are the various kind of sampling?
They include: Simple random sampling, Systematic sampling, Stratified sampling, Quota sampling, and Cluster sampling.
What is circular systematic sampling?
Circular systematic sampling is a random sampling method. An example is random sampling of households. Assume that a random number generator provides the number 49 as a starting point. Starting with the household that is 49 on the target list, every nth household on the list would be sampled until the desired sample size is reached
What is the difference between simple random sampling and systematic random sampling?
simple random sample is to select the sample in random method but systematic random sample is to select the sample in particular sequence (ie 1st 11th 21st 31st etc.)• Simple random sample requires that each individual is separately selected but systematic random sample does not selected separately.• In simple random sampling, for each k, each sample of size k has equal probability of being selected as a sample but it is not so in systematic random sampling.
What is anopther name for systematic sample?
Stratified random sampling.
What are the advantages and disadvantages of systematic sampling in statistics?
Hi, 1.The main advantage of Systematic sampling over simple random sampling is its simplicity. It allows the researchers to add a degree of system or process into the random selection of subjects. 2.Another advantage of systematic random sampling over simple random sampling is the assurance that the population will be evenly sampled. Disadvantage The process of selection can interact with a hidden periodic trait within the population.
What are the 4 kinds of sampling methods in math?
random sampling ,systematic sampling , self-selected , and there is one more i don't know
What is the difference between Sampling error vs sampling bias?
Sampling error leads to random error. Sampling bias leads to systematic error.
What are the disadvantages of systematic sampling?
Disadvantages of systematic sampling: © The process of selection can interact with a hidden periodic trait within the population. If the sampling technique coincides with the periodicity of the trait, the sampling technique will no longer be random and representativeness of the sample is compromised.
