Discover how sample size neglect impacts statistical conclusions and learn to avoid this cognitive bias studied by renowned experts like Tversky and Kahneman.

This study verified whether sample size would affect the precision of the analysis of variance in experiments with cauliflower seedlings. An experiment was carried ...

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No universal definition of a small sample size has been established and the concept of small depends on the type of statistical analysis. Studies with small sample sizes can be associated with ...

Abstract: We propose an open loop methodology based on sample statistics to solve chance constrained stochastic optimal control problems with probabilistic safety guarantees for linear systems where ...

Pooled variance is a useful statistical tool that combines the variances of two or more independent samples to create an estimate of the overall population variance. This method is often used when ...

Sample variance, often denoted as ‘s^2,’ is a measure used to determine how spread out a data set is. It helps reveal the degree to which the individual data points differ from the mean value of the ...

Abstract: An explicit expression for the variance of finite sample frequency function estimates is presented. The expression is applicable to models estimated using the least-squares method under the ...