Central Limit Theorem: A sampling distribution of the mean is approximately normally distributed if the sample size is sufficiently large. This is true no matter what the population distribution is.
We have previously discussed the importance of estimating uncertainty in our measurements and incorporating it into data analysis 1. To know the extent to which we can generalize our observations, we ...
The Central Limit Theorem is a statistical concept applied to large data distributions. It says that as you randomly sample data from a distribution, the means and standard deviations of the samples ...
Nanoparticles of increasingly smaller particle size and various material compositions are being developed for the pharmaceutical, biomedical, electronics, optoelectronics, energy, catalyst and ...
Dynamic light scattering (DLS) is generally utilized to determine the particle size distribution of protein therapeutic formulations and other similar bioformulations. This analytical technique has ...
Implementation of the Time-to-Event Continuous Reassessment Method Design in a Phase I Platform Trial Testing Novel Radiotherapy-Drug Combinations—CONCORDE BayeSize applies the concept of effect size ...
Size and shape are measures that greatly determine particulate behavior such as flowability, compaction, and mixing. Spherical particles are adequately characterized by size-only techniques. However, ...
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