besause it is cheaper and useful when time is limited
This type of sampling method is used when data is gathered by sampling individuals from a certain group. For example, a researcher may ask for a sample of 200 students from an ivy league school as a sample for their survey.
The sample mean may differ from the population mean, especially for small samples.
There are circumstances when it is important and others when it is not. If, for example, you wanted a sample of all schools in the country, it would make more sense to go for cluster sampling. A lot of market research work will require quota sampling. So the supremacy of a random sample is a myth.
What is the sample mean?
yes because the quota sample include the random sample and when we have over estimation we will use the quota sample
The main difference between the quota and stratified sampling is that in the stratified sampling the researcher can not select the individuals to be included in the sample (he doesn't have control over who will be in the simple), but in the quota sampling the researcher has control over who will be in the sample (he can contact certain people and include them in the sample).
quota sample
Convenience sampling or quota sampling.
besause it is cheaper and useful when time is limited
quota sample
Quota sampling involves selecting participants based on specific characteristics to match the proportions found in the population. Researchers set quotas for different categories (e.g., age, gender, income) and then stop sampling once each quota is filled. This method allows for a representative sample even though it is not selected randomly.
Convenience sampling or quota sampling
With a good sample, the sample mean gets closer to the population mean.
sales quota as mean of sale forecasting
a quota.
http://bbsbec.edu.in/index.php?option=com_content&view=article&id=20&Itemid=20