An introduction to probalistic modeling and statistical inference applied to the analysis of economic data for students with basic knowledge of calculus. Topics covered include: probability, discrete and continuous random variables, probability distributions, mean, variance, correlation, sampling, parameter estimation, unbiasedness and efficiency, confidence intervals, hypothesis testing. Computing labs with Excel.
Prerequisites: Math 34A-B or Math 2A-B or 3A-B; Math 34B or 2B or 3B can be taken simultaneously. Course cannot be used to satisfy any Actuarial Science, Financial Math & Statistics or Statistical Science major or minor requirements.
John Hartman
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