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Accurate estimates of various statistics.

Q: When designing an experiment a benefit of larger sample sizes would be more?

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Statistically the larger the sample size the more significant the results of the experiment are. Chance variation is ruled out.

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.

less bias and error occur when sample size is larger

The variance decreases with a larger sample so that the sample mean is likely to be closer to the population mean.

A larger sample size gives more statistical validity. Since there is usually some variation among members of a group (whatever group you may be studying) it is useful to use a large enough group that the random variations will tend to cancel each other out, giving an accurate average. If you just studied a single individual or a single object (whatever it may be, let us say a single pebble) you have no way of knowing whether this individual or object is typical or atypical.

1. Better chance of uniform sample. 2. Material for confirmations if needed.

The sample size determines the accuracy of results in an experiment

An experimental sample is an experiment that is just a sample of what you are looking for.

A control sample is the experiment under regular conditions. An experimental sample is the experiment in which different variables are changed.

It is the set of all possible outcomes of the experiment.

sample space

Sample: The answer is called Sample space.