This tutorial teaches fundamental properties of sampling distributions of means such as
accuracy of sample means, probability, and effects of sample size.

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This tutorial focuses on statistical methods of describing the
co-relatedness of two variables, and how-to use this information to
make statistical predictions.

This exercise poses different research scenarios and asks you
what statistical test you would use to answer the research question
of interest. An interesting approach to working with "real data."

In this tutorial, we illustrate the statistical basis of Signal
Detection Theory (SDT) and demonstrate the
similarities between SDT and Hypothesis Testing. SDT was developed in the psychological research
community, but has become popular in fields such as clinical
diagnosis and industrial design.

This tutorial focuses on statistical methods of decision making
under uncertainty. The underlying model assumes bivariate normal
distributions, distributions of N:N weights per group, and decision
outcomes of varying utility. (Spring, 2003).