Sample is subset of the population so sample size and population size is different.However, as a subset can be the whole set, if the sample size equals the population size, you have sampled the entire population and you will be 100% accurate with your results; it may cost much more than surveying a [representative] sample, but you get the satisfaction of knowing for what you surveyed the population exactly.Using a sample is a trade off between the cost of surveying the whole population and accuracy of the result.A census is a survey of the whole population and could be considered that the sample size = population size; in this case the results are 100% accurate.The television viewing figures are calculated using a sample of the whole population and then extrapolating them to the whole population; depending upon how the same was chosen, including its size, will affect the accuracy of the results - most likely not more than 95% accurate.With a carefully selected (that is properly biased) sample you can prove almost anything!
It is the number of elements in the sample. By contrast, the relative sample size is the absolute sample size divided by the population size.
You can estimate a population's size when counting individuals if the density in a sample is greater than the population density.
The sample size determines the accuracy of results in an experiment
Sample size = SQRT(8000) +1 =90
They do not. Population size does not affect the sample size. The variability of the characteristic that you are trying to measure and the required accuracy will determine the appropriate sample size.
How representative is the sample relative to the target population.
Sample is subset of the population so sample size and population size is different.However, as a subset can be the whole set, if the sample size equals the population size, you have sampled the entire population and you will be 100% accurate with your results; it may cost much more than surveying a [representative] sample, but you get the satisfaction of knowing for what you surveyed the population exactly.Using a sample is a trade off between the cost of surveying the whole population and accuracy of the result.A census is a survey of the whole population and could be considered that the sample size = population size; in this case the results are 100% accurate.The television viewing figures are calculated using a sample of the whole population and then extrapolating them to the whole population; depending upon how the same was chosen, including its size, will affect the accuracy of the results - most likely not more than 95% accurate.With a carefully selected (that is properly biased) sample you can prove almost anything!
From a sample of a population, the properties of the population can be inferred.
It is the number of elements in the sample. By contrast, the relative sample size is the absolute sample size divided by the population size.
well a sample size can be any size depending on the requirements. A sample size could be 10 people of that entire population or it could be 1000 people.
You can estimate a population's size when counting individuals if the density in a sample is greater than the population density.
The sample size determines the accuracy of results in an experiment
Sample size = SQRT(8000) +1 =90
The larger the sample size, the smaller the margin of error.
Sample size is the number of samples arawn from a population. If you drew 20 samples, your sample size would be 20.
The sample size has no effect on the validity of an experiment: instead, it is the experimental procedure and integrity of the experimenters.The sample size can affect conclusions that may be drawn from an experiment. The larger the sample is, the more reliable these conclusions are.