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http://en.wikipedia.org/wiki/Statistical_power

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Q: What sample size is sufficient for statistical analysis?
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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.


What is a good statistical sample size percentage?

+or- 5%


What is the ideal sample size for a given population?

There is no "ideal" sample size for any given population, because polls and other statistical analysis forms depend on many factors, including what the survey is intended to show, who the target audience is, how much statistical error is permitted, and so on. The "Survey System" link, below, offers definitions and a couple of calculators to determine the best sample size for most purposes.


What difference between Statistical Sampling and non-statistical sampling?

Statistical sampling is an objective approach using probability to make an inference about the population. The method will determine the sample size and the selection criteria of the sample. The reliability or confidence level of this type of sampling relates to the number of times per 100 the sample will represent the larger population. Non-statistical sampling relies on judgment to determine the sampling method,the sample size,and the selection items in the sample.


What does the n stand for?

The "n" stands for the sample size within a statistical analysis. It represents the number of observations or data points used to calculate a statistic or estimate.


What has the author William C Guenther written?

William C. Guenther has written: 'A sample size formula for the hypergeometric' -- subject(s): Hypergeometric distribution, Sampling (Statistics) 'Concepts of probability' -- subject(s): Probabilities 'A sample size formula for a non-central t test' -- subject(s): Sampling (Statistics), Statistical hypothesis testing, T-test (Statistics) 'Analysis of variance' -- subject(s): Analysis of variance


What will affect the sample size calculation for a clinical trial?

Factors that will affect the sample size calculation for a clinical trial include the effect size (magnitude of the treatment effect), desired level of confidence, statistical power, variability in outcome measures, and the type of statistical test being used. Additionally, the expected dropout rate, study design, and practical considerations such as cost and feasibility can also impact the sample size calculation.


What has the author Nancy Pei-ching Lin written?

Nancy Pei-ching Lin has written: 'A new approach to sample size determination of replicated Latin square designs and analysis of multiple comparison procedures' -- subject(s): Analysis of variance, Sampling (Statistics), Statistical hypothesis testing


In an analysis of variance is SS directly influenced by the size of the sample variances?

Yes it is.


In an analysis of variance which is directly influenced by the size of the sample variances?

df within


Which of the following would you need in order to compare the effect of two different fertilizers on plant growth?

To compare the effect of two different fertilizers on plant growth, you would need identical plant species, same environmental conditions (light, water, temperature), controlled experimental setup, measured growth parameters, and a sufficient sample size for statistical analysis.


Significance of grain size analysis?

grain size analysis is used to accertain the various sizes that are available in a particular sample of soil since it is required to calculate the strenght of concrete mix and also the king of soil that the sample is.