stratified sampling technique
A random sampling technique, such as simple random sampling or stratified random sampling, would be appropriate for surveying 120,000 people to ensure each person in the population has an equal chance of being selected. These techniques help reduce bias and ensure the sample is representative of the population as a whole.
28,000
Sampling bias occurs when the sampling frame does not reflect the characteristics of the population which is being tested. Biased samples can result from problems with either the sampling technique or the data-collection method. Essentially, the group does not reflect the population which is supposed to be represented in the given survey or test. For example: If the question being asked in a survey was "do American's prefer Coca-Cola or Pepsi?" and all people asked were under 18 and from California, there would be a sampling bias as the sampling frame would not accurately represent "American's".
The difference between convenience and incidental sampling is that convenience sampling chooses the easiest people to reach when a sampling is done, whereas incidental sampling is done at random.
Whenever it is impractical to measure the characteristics of interest of each member of the population. For example, the populations of most countries are too large for any of the characteristics of all of the people within them to be measured. For that reason, sampling techniques are applied so that representative samples can be obtained of country populations.
appropriate is what people action that we made to the others satisfaction behaviour. inappropriate is action w do that made thee other person unhappy or touch their feeling with bad attitude
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.
In practice, systematic sampling is used on account of its simplicity and convenience. It's easy to explain to the people doing the actual work. It can be justified theoretically wherever the population from which units are to be sampled systematically are randomly distributed. It can be used for sampling households, sampling callers on a telephone line, sampling plants along a transect in (say) a field, sampling people passing through customs, and so on.
simple behaviour is the behaviour of simple people like arnie... he survived nova gas = )
honest people's behaviour's are being quiet, happy and positive
Cluster sampling is sampling technique that is used when natural groups are evident. In one-stage cluster sampling (Elementary Statistics, p. 24, by Triola), all members of these selected clusters are surveyed. Rigorous rules to define members of the cluster are needed. A member can not belong to two clusters. Surveys of people conducted in geographical different areas of the country would be an example of cluster sampling. Because different definitions/ explanations exist, I've included three links for further reading. See the following links: http://stattrek.com/Lesson6/CLS.aspx?Tutorial=Stat http://en.wikipedia.org/wiki/Cluster_sampling http://www.answers.com/topic/cluster-sampling
Cluster sampling is sampling technique that is used when natural groups are evident. In one-stage cluster sampling (Elementary Statistics, p. 24, by Triola), all members of these selected clusters are surveyed. Rigorous rules to define members of the cluster are needed. A member can not belong to two clusters. Surveys of people conducted in geographical different areas of the country would be an example of cluster sampling. Because different definitions/ explanations exist, I've included three links for further reading. See the following links: http://stattrek.com/Lesson6/CLS.aspx?Tutorial=Stat http://en.wikipedia.org/wiki/Cluster_sampling http://www.answers.com/topic/cluster-sampling