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Course Criteria
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1.00 Credits
Distribution functions, densities, measurement of location and scale, random sampling, random variables, sampling statistics, hypothesis tests, confidence intervals, parameter estimation, and nonparametric methods. 2. Correlation and regression, contingency tables, analysis of variance, design and analysis of experiments. Prerequisites: MATH 234 and 240.
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3.00 Credits
Probability sampling, simple random sampling, error estimation, sample size, stratification, systematic sampling, replication methods, ratio and regression estimation, cluster sampling. Prerequisites: 2 quarters of statistics or consent of instructor.
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3.00 Credits
Historical survey of the development of modern statistics, from Bernoulli's law of large numbers to the contributions of R. A. Fisher. Prerequisite: 320-2 or equivalent.
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3.00 Credits
Theoretical and practical problems in the development and use of statistical computing systems for numerical and graphical analysis of data. Prerequisites: 2 quarter-courses chosen from 320-2, 350, 351, PSYCH 351, MATH 240, or equivalent.
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3.00 Credits
Introduction to statistical theory of demographic rates (births, deaths, migration) in multistate setting; statistical models underlying formal demography; analysis of error in demographic forecasting. Prerequisite: 350, MATH 240, or equivalent.
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3.00 Credits
Simple linear regression and correlation, multiple regression, residual analysis, selection of subsets of variables, multicollinearity and shrinkage estimation, nonlinear regression. Prerequisite: 320-2 or equivalent.
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3.00 Credits
Methods of designing experiments and analyzing data obtained from them: one-way and two-way layouts, incomplete block designs, factorial designs, random effects, split-plot and nested designs. Prerequisite: 320-2 or equivalent.
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3.00 Credits
Survey of nonparametric methods, with emphasis on understanding their application. Prerequisite: 320-2 or equivalent.
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3.00 Credits
Introduction to the analysis of qualitative data. Measures of association, log-linear models, logits, and probits. Prerequisite: 320-2 or equivalent.
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3.00 Credits
Topics in theoretical and applied statistics to be chosen by instructor. Prerequisite: consent of instructor.
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