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Resources
This applet, created by Ivo Dinov of the University of California, Berkeley, demonstrates the Central Limit Theorem. First, select a distribution (normal, uniform, skewed, custom) and add or delete data points by...
This applet simulates and plots the sampling distribution of various statistics (i.e. mean, standard deviation, variance). The applet allows the user to specify the population distribution, sample size, and statistic. An...
This one page article, created by Statistics Canada, describes the meaning behind random sampling error. It points our the relationship of the random sampling error with the sample size, population size, variability of...
This site, presented by the Department of Statistics at Yale University, gives an explanation, a definition and an example of sampling in statistical inference. Topics include parameters, statistics, sampling...
These datasets come from the book "STAT LABS: Mathematical Statistics Through Applications." Below the link for each dataset are descriptions of the variables for that dataset. Datasets are in text format and address...
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