You go to the state Department of Motor Vehicles, obtain a list of all the minivan owners, number the owners, and then use a random number generator to choose 50 numbers. The owners whose names correspond to the numbers generated would be the sample.
You can make a survey to the people around your community asking them if they are an minivan owner.
One approach could be to obtain a list of registered minivan owners in the state and randomly select 50 owners from that list. Another method could be to use stratified sampling by dividing minivan owners into groups based on demographics (e.g. age, income) and selecting a proportional number from each group to ensure representation. Alternatively, you could survey minivan owners at a popular location in the state to gather a diverse sample.
Biased sample
A sampling universe is what a sample is intended to represent.
A biased sample is a sample that is not random. A biased sample will skew the research because the sample does not represent the population.
A biased sample is a sample that is not random. A biased sample will skew the research because the sample does not represent the population.
You are studying the sample because you want to find out information about the whole population. If the sample you have drawn from the population does not represent the population, you will find out about the sample but will not find out about the population.
The term used in forensics to describe a sample of unknown origin is "questioned sample."
sample of use case diagram represent the business process of GeneralMotors
yes because the quota sample include the random sample and when we have over estimation we will use the quota sample
The sample must be large and random.
sample of a Promissory Note and describe its features. Also describe its usage and the involvement of the parties concerned