1. 'rand'
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2. simulations for answering questions of probability
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3. 'for' loops
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4. indexing arrays
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5. 'tic' and 'toc' to time code execution
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6. binomial distribution
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7. pdf's and cdf's
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8. operations along columns of 2D matrix
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9. use of 'repmat'
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10. simple descriptive statistics: mean, std. error
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11. plotting functions: plot, errorbar, polar
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12. handle graphics
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13. bootstrapping concepts: null hypothesis; permutation test; bootstrap confidence
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intervals
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