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I have the following stats electives to choose from. Which seems the most interesting to you?

- Applied Nonparametric Statistics: Methods of analyzing data from non-normal populations including binomial tests, contingency tables, use of ranks, Kolmogorov-Smirnov type statistics and selected topics.

- Statistical Decision Theory: Development and use of probability and statistics for strategic decision making with applications. Topics include decision flow diagrams, analysis of risk and risk aversion, utility theory, Bayesian statistical methods, the economics of sampling, sensitivity analysis and collective decision making.

- Probability and Mathematical Statistics II: Topics include estimation via MLE and the method of moments, interval estimation, minimum variance estimators, Bayesian estimation, hypothesis testing, inferences based on normal distribution, two sample inferences, goodness-of-fit tests.