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This query is : Resolved
24 March 2009
diff b/w stratified sampling & random sampling?
24 March 2009
Hi Arun,
Random sampling and stratified sampling both are probability sampling methods, i.e., each element of the population being sampled has an equal chance of being included in the sample.
Random Sampling - In auditing, this method uses sampling without replacement; that is, once an item has been selected for testing it is removed from the population and is not subject to re-selection. An auditor can implement simple random sampling in one of two ways: computer programs or random number tables.
Stratified Sampling - This method provides for the selection of sample items by breaking the population down into stratas, or clusters. Each strata is then treated separately. An example of cluster sampling is the inclusion in the sample of all remittances or cash disbursements for a particular month. If blocks of homogeneous samples are selected, the sample will be biased.
I hope this helps!
Random sampling and stratified sampling both are probability sampling methods, i.e., each element of the population being sampled has an equal chance of being included in the sample.
Random Sampling - In auditing, this method uses sampling without replacement; that is, once an item has been selected for testing it is removed from the population and is not subject to re-selection. An auditor can implement simple random sampling in one of two ways: computer programs or random number tables.
Stratified Sampling - This method provides for the selection of sample items by breaking the population down into stratas, or clusters. Each strata is then treated separately. An example of cluster sampling is the inclusion in the sample of all remittances or cash disbursements for a particular month. If blocks of homogeneous samples are selected, the sample will be biased.
I hope this helps!
24 March 2009
Hi Arun,
Random sampling and stratified sampling both are probability sampling methods, i.e., each element of the population being sampled has an equal chance of being included in the sample.
Random Sampling - In auditing, this method uses sampling without replacement; that is, once an item has been selected for testing it is removed from the population and is not subject to re-selection. An auditor can implement simple random sampling in one of two ways: computer programs or random number tables.
Stratified Sampling - This method provides for the selection of sample items by breaking the population down into stratas, or clusters. Each strata is then treated separately. An example of cluster sampling is the inclusion in the sample of all remittances or cash disbursements for a particular month. If blocks of homogeneous samples are selected, the sample will be biased.
I hope this helps!
Random sampling and stratified sampling both are probability sampling methods, i.e., each element of the population being sampled has an equal chance of being included in the sample.
Random Sampling - In auditing, this method uses sampling without replacement; that is, once an item has been selected for testing it is removed from the population and is not subject to re-selection. An auditor can implement simple random sampling in one of two ways: computer programs or random number tables.
Stratified Sampling - This method provides for the selection of sample items by breaking the population down into stratas, or clusters. Each strata is then treated separately. An example of cluster sampling is the inclusion in the sample of all remittances or cash disbursements for a particular month. If blocks of homogeneous samples are selected, the sample will be biased.
I hope this helps!
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