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Course Criteria
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5.00 Credits
Calculus-based introduction to data analysis, experimental design, sampling, probability, and inference. Au Qtr. 3 cl, 2 1-hr labs.
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4.00 Credits
Intermediate data analysis including multiple regression, analysis of variance, nonparametric methods, and time series. Emphasis on statistical reasoning and using statistical software. Wi Qtr. 4 1-hr cl.
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5.00 Credits
Basic concepts in mathematical statistics, including probability, discrete and continuous distributions and densities, mathematical expectation, functions of random variables, transformation techniques, sampling distributions, order statistics.
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5.00 Credits
Calculation and evaluation of point estimators, interval estimation, Neyman-Pearson lemma, uniformly most powerful tests, likelihood ratio tests, chi-square, F, and nonparametric tests. Wi, Sp Qtrs.
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3.00 Credits
Introduction to probability, discrete and continuous random variables, expected value, and sampling distributions. Su, Au, Wi, Sp Qtrs. 3 cl.
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3.00 Credits
Continuation of 427; point and interval estimation; hypotheses tests for proportions, means, variances, and goodness-of-fit; least squares regression. Su, Au, Wi, Sp Qtrs. 3 cl.
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3.00 - 5.00 Credits
Designed to give groups of students an opportunity to pursue special studies not otherwise offered. Su, Au, Wi, Sp Qtrs.
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4.00 Credits
Introduction to statistical concepts, theory and methods in research of scientific methods. Su, Au, Wi, Sp Qtrs. 2 2-hr cl.
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5.00 Credits
Probability, random variables, discrete and continuous distributions; binomial, Poisson, normal, gamma (chi-square), t, F, distributions; change of variable and moment-generating function techniques; order statistics; limit theorems. ^ Au Qtr. 5 cl.
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5.00 Credits
Confidence intervals; minimum variance unbiased estimation, maximum likelihood estimation; Neyman-Pearson theorem, uniformly most powerful tests, likelihood ratio tests, chi-square and F tests, nonparametric tests. ^ Wi Qtr. 5 cl.
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