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Explain the importance of random and stratified sampling?
A sampling method in which all members of a group have an equal and independent chance of being selected.
Which one is called non probability sampling a. cluster sampling b.quota sampling c. systematic sampling d. stratified sampling?
Answer is Quota sampling. Its one of the method of non-probability sampling.
Define the four different sampling techniques?
1) Simple random sampling 2) Systematic sampling 3) Stratified sampling 4) Cluster sampling 5) Probability proportional to size sampling 6) Matched random sampling 7) Quota sampling 8) Convenience sampling 9) Line-intercept sampling 10) Panel sampling
What is the difference between quota sampling and cluster sampling?
What is the difference between quota sampling and cluster sampling
What is the difference between Sampling error vs sampling bias?
Sampling error leads to random error. Sampling bias leads to systematic error.
Explain the importance of random and stratified sampling?
A sampling method in which all members of a group have an equal and independent chance of being selected.
How can data be collected if independent samples are to be obtained?
Data can be collected for independent samples by randomly selecting individual units or cases from the population of interest. This can be done using random sampling techniques such as simple random sampling, stratified sampling, or cluster sampling. By ensuring that each sample is selected independently of the others, we can maintain the assumption of independence among the samples in the data analysis.
When you sample with replacement are the trials independent?
They are, if the sampling and replacement processes don't introduce any bias.
What is incorrect sampling?
Incorrect sampling is giving account of erroneous information. An example of incorrect sampling is an audit of merchandise in a retail store by an independent person with the risk of human error. A solution to avoiding the risk of incorrect sampling in the audit would be to have a team execute the task so information can be compared.
What is the difference between two phase and double sampling?
Two-phase sampling involves selecting initial units from a population through one sampling technique and subsequently selecting final units from the initially drawn units using a different sampling technique. Double sampling, on the other hand, involves selecting two independent samples from the same population, where the second sample is used to check the results of the first sample and make adjustments if needed.
What are the advantages and disadvantages of POISSON sampling method?
Advantages of Poisson sampling method include its simplicity and ease of application, as well as its ability to provide unbiased estimates of population parameters. Disadvantages may include potential underrepresentation of rare events or small subgroups in the population, as well as the assumption of random and independent sampling.
What are the various kind of sampling?
They include: Simple random sampling, Systematic sampling, Stratified sampling, Quota sampling, and Cluster sampling.
Which one is called non probability sampling a. cluster sampling b.quota sampling c. systematic sampling d. stratified sampling?
Answer is Quota sampling. Its one of the method of non-probability sampling.
What is sampling in research?
Sampling techniques in researching involves to types of sampling. The probability sampling and the non-probability sampling. Simple random is an example of probability sampling.
Is convenience sampling method not a random sampling?
You are correct; convenience sampling is not random sampling.
Define the four different sampling techniques?
1) Simple random sampling 2) Systematic sampling 3) Stratified sampling 4) Cluster sampling 5) Probability proportional to size sampling 6) Matched random sampling 7) Quota sampling 8) Convenience sampling 9) Line-intercept sampling 10) Panel sampling
What are the sources of sampling errors?
Sampling and Non sampling errors
