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Which sample size out of a population of 1000 is most likely to lead to a valid conclusion?
Providing of course that a sample is representative of the population from which it is drawn, the bigger it is the more likely it will be to lead to a valid conclusion. Therefore, the best sample size when there are no restrictions, as in this case, would be one of 1000.
What are the disadvantages of non probability sampling?
It is quite likely that the sample is not representative of the population and so while statistical conclusion may be valid for the sample, they may not apply to the population.
Which sample size of a population of 200 is most likely to give a reliable conclussion?
i might be mistaken but i think 10
Does inferential statistics involve using a suitable population to draw a conclusion from a sample drawn from that population?
It is strangely worded like that, but the answer is yes.
Population or sample psychology?
Portion of the entire population used to estimate what is likely happening within a population.
How reliable is drawing a conclusion based on too small a population sample?
Drawing a conclusion based on too small a population sample is not reliable because the sample may not accurately represent the entire population, leading to biased or inaccurate results. It is important to use a sufficiently large and diverse sample size to ensure the validity and generalizability of conclusions.
Which sample size out of a population of 1000 is most likely to lead to a valid conclusion?
Providing of course that a sample is representative of the population from which it is drawn, the bigger it is the more likely it will be to lead to a valid conclusion. Therefore, the best sample size when there are no restrictions, as in this case, would be one of 1000.
What are the disadvantages of non probability sampling?
It is quite likely that the sample is not representative of the population and so while statistical conclusion may be valid for the sample, they may not apply to the population.
Which sample size of a population of 200 is most likely to give a reliable conclussion?
i might be mistaken but i think 10
What is the best estimator of population mean?
The best point estimator of the population mean would be the sample mean.
Does inferential statistics involve using a suitable population to draw a conclusion from a sample drawn from that population?
It is strangely worded like that, but the answer is yes.
Population or sample psychology?
Portion of the entire population used to estimate what is likely happening within a population.
What is he conclusion from research conducted on a sample population to the population as a whole?
Assuming that the population was carefully defined, the sample population was carefully and correctly chosen, and that there were significant results, then the implication is that the results of the study, within the confidence limits indicated, hold true for the population at large.
When using the distribution of sample mean to estimate the population mean what is the benefit of using larger sample sizes?
The variance decreases with a larger sample so that the sample mean is likely to be closer to the population mean.
A smaller number of people used to represent an entire population is called a?
The use of a small number of people to represent a greater population is called sampling. The sample can be randomly chosen so that it is a reliable reflection of most of the population.
Which sample size out of a population of 1,000 is most likely to lead to a valid conclusion50150200100?
China?
What is subset of a population called?
A Sample
