From what i have learned in my math class a census is the most reliable method but is not always applicable so simple random method is the next best.
Random Sampling
Instantaneous sampling is one method used for sampling a continuous time signal into discrete time signal. This method is called as ideal or impulse sampling. In this method, we multiply a impulse function with the continuous time signal to be sampled. The output is instantaneously sampled signal.
characteristics of sample
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.
Sampling is a method of selecting experimental units from a population so that we can make decision about the population. Sampling design is a design, or a working plan, that specifies the population frame,sample size, sample selection, and estimation method in detail. Objective of the sampling design is to know the characteristic of the population.
cluster sampling
Random Sampling
THE RANDOM METHOD (: :P THE RANDOM METHOD (: :P THE RANDOM METHOD (: :P
The most commonly used sampling method is simple random sampling, where every individual in the population has an equal chance of being selected for the sample. It is preferred for its simplicity and unbiased nature in representing the population.
You are correct; convenience sampling is not random sampling.
orditatoin method
Answer is Quota sampling. Its one of the method of non-probability sampling.
because it is the simplest sampling technique which requires less time and cost.
Instantaneous sampling is one method used for sampling a continuous time signal into discrete time signal. This method is called as ideal or impulse sampling. In this method, we multiply a impulse function with the continuous time signal to be sampled. The output is instantaneously sampled signal.
what are the steps involved in the mark and re-capture method in population sampling
Sampling techniques can provide statistically reliable and valid survey results except haphazard sampling.
characteristics of sample