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A sample needs to be random and if not a simple random sample of the whole population then a stratified random sample (there are different ways to stratify). Otherwise the study is a waste of time.
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How to reduce sampling error?
The only way to get rid of sampling error is to use the entire population under study. This is usually impossible, so the next best thing is to use large samples and good sampling methods.
What has the author Dan M Guy written?
Dan M. Guy has written: 'Wiley Practitioner's Guide to Gaas 2000' 'An introduction to statistical sampling in auditing' -- subject(s): Statistical methods, Auditing, Sampling (Statistics) 'Ethics for CPAs , Meeting Expectations In Challenging Times' 'Auditing/Study Guide' 'Practitioner's guide to audit sampling' -- subject(s): Statistical methods, Auditing, Sampling (Statistics)
When to apply sampling?
you can use sampling when your population under study is large, expensive and time time consuming to study.... in a nut shell, when studying entire population is expensive we go for sampling...
Disadvantage of secondary data?
Secondary data may not answer fully answer the research questions of a study. It is also hard to establish its validity, and if proper sampling and data collection methods were employed.
How can sampling error be reduced?
The best way to reduce sampling error is to use random sampling in the study. This means selecting the population to study through a random process. This will ensure that each member of the population under study has an equal chance of being selected.
Which sampling method is appropriate to study the pervalence of AIDS among male and female in india in 1976 1986 1996 2006?
cluster sampling, quota sampling, systematic sampling, stratified random sampling which one is correct?
What are the major source of sampling error?
The major source of sampling error is sampling bias. Sampling bias is when the sample or people in the study are selected because they will side with the researcher. It is not random and therefore not an adequate sample.
Sampling error refers to?
Sampling error occurs when the sampling protocol does not produce a representative sample. It may be that the sampling technique over represented a certain portion of the population, causing sample bias in the final study population.
Methods of the study?
The answer will depend on which study!
What is causal studies?
Casual studies are study methods that test a hypothesis in a market situation to better understand cause and effect relationships.
Sampling is a method of estimating population?
Sampling makes it possible to make assumptions about the larger population based on a small sample. This is beneficial in the study of population and demographics.
What is the sampling level?
The sampling level is the size or limit of a population used during a study. This level is used to determine if a particular standard or mandate is being met.
