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(1) A sample may save money (as compared with the cost of a complete census) when absolute precision is not necessary.
(2) A sample saves time, when data are desired more quickly than would be possible with a complete census.
(3) A sample may make it possible to concentrate attention on individual cases.
(4) In industrial uses, some tests are destructive (for example, testing the length of time an electric bulb will last) and can only be performed on a sample of items.
(5) Some populations can be considered as infinite, and can, therefore, only be sampled. A simple example is an agricultural experiment for testing fertilizers. In one sense, a census can be considered as a sample at one instant of time of an underlying causal system which has random features in it.
(6) Where non-sampling errors are necessarily large, a sample may give better results than a complete census because non-sampling errors are easier to control in smaller-scale operations
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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.
What is the difference between flat top sampling and natural sampling?
in flat top sampling the electronic circuit required for sampling are less complicated as compared to the one used in natural sampling, at demodulation of the sample it is very difficult to maintain the natural waveform of the natural sampling so flat top sampling can easily be demodulated.
What is the main advantages of Natural sampling?
natural sampling uses what?
A scientific poll uses sampling techniques?
random
What causes a Sampling error?
a sampling error is o ne that occurs when one uses a population istead of a sample
What is sampling examine well known methods of probability and nonprobability sampling in statistic?
Non probability sampling and probability sampling are different because probability sampling uses random samples. Non probability sampling aren't random, but can still be representative of the population as a whole if done correctly.
A scientific poll uses what kind of sample techniques?
Random sampling techniques.
What type of sampling uses a fair representation of the population?
Simple random sampling gives you are fair representation of the population. Every member of the population has an equal chance of being chosen.
What are the various kind of sampling?
They include: Simple random sampling, Systematic sampling, Stratified sampling, Quota sampling, and Cluster sampling.
Modern scientific polling uses sampling to get accurate statistics on public opinion?
Modern scientific polling uses sampling to get accurate statistics on public opinion. The sample is of the public is taken to represent the opinion of the larger public. This has become a proven and accurate way of conducting polls from the public.
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
