THE RANDOM METHOD (: :P THE RANDOM METHOD (: :P THE RANDOM METHOD (: :P
Sampling is needed in order to determine the properties of a distribution or a population. Sampling allows the scientist to determine the variance in an estimate.
stratified sampling technique
cluster sampling, quota sampling, systematic sampling, stratified random sampling which one is correct?
28,000
it can be used when members of the population are heterogenous
Statistical sampling is an objective approach using probability to make an inference about the population. The method will determine the sample size and the selection criteria of the sample. The reliability or confidence level of this type of sampling relates to the number of times per 100 the sample will represent the larger population. Non-statistical sampling relies on judgment to determine the sampling method,the sample size,and the selection items in the sample.
A sampling distribution refers to the distribution from which data relating to a population follows. Information about the sampling distribution plus other information about the population can be inferred by appropriate analysis of samples taken from a distribution.
probability sampling
A sampling of a population (a group of people) to determine their opinions on a topic.
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.
The Central Limit THeorem say that the sampling distribution of .. is ... It would help if you read your question before posting it.
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.