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How does sample size affect the experiment?
The sample size determines the accuracy of results in an experiment
Why is it good to have a high sample size?
It increases the accuracy of the estimation and reduces the associated error range.
If the size of a sample equals to the size of the 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!
What is absolute sample size?
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.
What is the difference between sample and sample size?
a sample is a sample sized piece given... a sample size is the amount given in one sample
How does sample size affect the experiment?
The sample size determines the accuracy of results in an experiment
Does the accuracy of a sample in representing the characteristics of the population from which it was drawn always increase with the size of the sample?
yes the size is 4444
Why do smaller populations need larger sample sizes?
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.
What sample size is sufficient for stat?
A sample size of one is sufficient to enable you to calculate a statistic.The sample size required for a "good" statistical estimate will depend on the variability of the characteristic being studied as well as the accuracy required in the result. A rare characteristic will require a large sample. A high degree of accuracy will also require a large sample.
How does the beginning sample size affect the accuracy of half-life dating?
A big sample is more statistically significant.
Why is it good to have a high sample size?
It increases the accuracy of the estimation and reduces the associated error range.
Which is better to use larger sample size or smaller sample size?
A larger sample size will give more accurate answers but at a greater cost. The skill of a statistician is in determining the optimum sample size in the trade off between accuracy and cost. The costs are both in terms of the cost of collecting and processing additional information against the risk of getting the answer wrong.
If the size of a sample equals to the size of the 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!
Why is it important to have a large sample size?
The result will be closer to the truth.
What is absolute sample size?
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.
What does MAD refer to?
It refers to Mean Absolute Deviation. It is the sum of errors divided by the sample size. It can be used in evaluating the accuracy of demand forecasting method by summing the differences between the actual demand and the forecast demand then dividing by the sample size. It is more convenient to use than the other method of evaluating the accuracy of forecasting method, which is Mean Squared Error (MSE). MSE is calculated by taken the sum of squared errors divided by the sample size. MSE uses the squared errors, which can enlarge the error values unnecessarily.
What helps ensure accuracy in drug therapy monitoring?
it is important to allow for sufficient time to pass between the administration of the medication and the collection of the blood sample.
