Three important principles of sampling survey are:
1. Principle of validity
2. Princilpe of statistical regularity
3. Principle of optimization
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It is where they survey is pretty much already for you Example: Mrs. Wolfe's 5th grade class is given the survey
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.
Convenience sampling is also know as grab sampling. There is no procedure for the sampling itself because the emphasis at this stage is usually on improving other aspects of the research such as exposing flaws in a survey form or training personnel. In grab sampling you simply take any sample element that you can find although you might favour those that would exercise parts of your system that might seem weak. For instance, if your survey instrument asks for ages and some people were reluctant to provide them, then how would this be resolved once the grab sampling phase had been completed and actual sampling had started?
Sampling errors are errors in the data collected during the carrying out of quantitative data surveys. They can occur for various reasons, e.g. surveys that were incorrectly filled out. It is generally said that a survey needs to have a margin of error of under 3% to be statistically significant.
We did a survey sampling covering 0.00007% of the world, we estimatet that there are 1.7 billion buildings in the world with 90% confidence interval from [0.9 billions to 2.5 billions] See the paper github.com/svendvn/sampling/