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What else can I help you with?
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.
How can one find the LCL (Lower Confidence Limit) for a statistical analysis?
To find the Lower Confidence Limit (LCL) for a statistical analysis, you typically calculate it using a formula that involves the sample mean, standard deviation, sample size, and the desired level of confidence. The LCL represents the lower boundary of the confidence interval within which the true population parameter is estimated to lie.
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 is the percent inherent error in the data analysis process?
The percent inherent error in the data analysis process refers to the margin of error that is naturally present in the analysis due to various factors such as data collection methods, sample size, and statistical techniques used. It is important to consider and account for this error when interpreting the results of a data analysis.
What will affect the sample size calculation for a clinical trial?
A cost-benefit analysis. In particular, the cost of the experiment, the consequences of getting the wrong result, the rarity (or otherwise) of the condition that you want to study, the variability of that condition in the population.
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 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
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.
