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http://en.wikipedia.org/wiki/Statistical_power
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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.
In an analysis of variance which is directly influenced by the size of the sample variances?
df within
In an analysis of variance is SS directly influenced by the size of the sample variances?
Yes it is.
How To get valid results small samples are sufficient?
I will assume the sample is random. In general, the larger the sample, the smaller the percentage error will be (the difference between percentages in the sample, and the percentages in the universe from whence the sample is taken). The percentage error tends to go down as the square root of the size of the sample.
How To Determine Sample Size?
I've included a couple of links. Statistical theory can never tell you how many samples you must take, all it can tell you the expected error that your sample should have given the variability of the data. Worked in reverse, you provide an expected error and the variability of the data, and statistical theory can tell you the corresponding sample size. The calculation methodology is given on the related links.
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 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
In an analysis of variance which is directly influenced by the size of the sample variances?
df within
In an analysis of variance is SS directly influenced by the size of the sample variances?
Yes it is.
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
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.
How are systematic errors detected?
independent analysis blank determinations variation in sample size
When and why to use power analysis?
Power analysis is used before conducting a research study to determine the sample size needed to detect an effect of a given size. It helps ensure that the study has a high enough statistical power to detect true effects, minimizing both type I and type II errors. Researchers should use power analysis to plan studies effectively, increasing the likelihood of obtaining meaningful results.
How To get valid results small samples are sufficient?
I will assume the sample is random. In general, the larger the sample, the smaller the percentage error will be (the difference between percentages in the sample, and the percentages in the universe from whence the sample is taken). The percentage error tends to go down as the square root of the size of the sample.
