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Is the expectation of sample mean related to the number of samples? Is it true that the more sampling times, the closer the expected value of the sample mean is to the overall mean?
The understanding of this is as follows:

We get the needed data by sampling, such as the mean value, and then try to calculate the expectation in the mathematical sense, so as to shorten and guide the process of production or activity, not the other way around; Ideally, the samples are getting closer to the design or expectation, and the sampling times are naturally reduced, otherwise there is no need to do any theoretical design research ~

Therefore, the design and selection of samples are usually used to gradually eliminate the failed and disappointed samples, so as to approach the expectations and obtain the expected results. Therefore, the first question is related and the second question is negative. On the contrary, the number of unnecessary samples is reduced by calculation and design, and the number of samples is gradually reduced. If it continues to spread, it means it has failed and needs to be redesigned ~