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.
simple random sampling method
What is wrong is that the method has not been properly specified.
Systematic sampling doesn't require a frame. This method takes in every data from a sample, rather than restricting it by any particular means.
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.
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.
Random Sampling
Suitable sampling techniques other than stratified sampling include simple random sampling, where each member of the population has an equal chance of being selected; systematic sampling, which involves selecting every nth individual from a list; and cluster sampling, where the population is divided into clusters, and entire clusters are randomly selected. Convenience sampling, though less rigorous, involves selecting individuals who are easily accessible. Each method has its own advantages and limitations, depending on the research goals and population characteristics.
Sampling involves selecting a subset of individuals or items from a larger population for study. Random sampling is a specific type of sampling method where each individual or item in the population has an equal chance of being selected. In random sampling, the selection of individuals is done purely by chance, reducing bias in the sample.
A common way of selecting individuals from a group is through random sampling, where each member has an equal chance of being chosen. This method helps ensure that the selection is unbiased and representative of the larger population. Other methods include stratified sampling, where individuals are selected from specific subgroups, and systematic sampling, where every nth individual is chosen. Each method has its own advantages depending on the research goals and context.
Random sampling is a method of selecting a sample where each member of the population has the same probability of being included in the sample. An equivalent statement is that each subset of the population, of the given size, has the same probability of being selected as any other subset of that size.
You are correct; convenience sampling is not random sampling.
The weakest sampling method is often considered to be convenience sampling. This approach involves selecting a sample based on ease of access rather than random selection, which can lead to significant biases and a lack of representativeness. Consequently, findings from convenience samples may not be generalizable to the broader population, compromising the validity of the research.
Sampling has multiple meanings depending on the domain of work:Statistics - Sampling is selecting a subset of population from within the population to estimate the characteristics of the whole population.There are two different types of Sampling Procedure;1. Probability2. Non ProbabilityProbability sampling methods ensures that there is an equal possibility for each individual in a population to get selected.Non Probability method targets specific individuals.
Quota sampling is a non-probability sampling technique where there is selection of a fixed number or quota of people to study. It is a sampling method of gathering representative data from a particular group.
Answer is Quota sampling. Its one of the method of non-probability sampling.