Random Sampling.
random
It can be but it is not simple random sampling.
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.
Simple!
the sample is a representative crossection of the public
the sample is a representative cross-section of the public.
Random Sampling.
random
Random sampling techniques.
Random sampling ensures that a bias in the sampled subjects is avoided. It allows for a diverse and fairly chosen sample of the intended population.
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.
You are correct; convenience sampling is not random sampling.
It can be but it is not simple random sampling.
a
yes
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.