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ST Undergraduate Courses, Corvallis Campus

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Top ST 199 SPECIAL TOPICS (3)  Offered in current or future terms
This course can only be taken once unless instructor permission is provided.

Top ST 201 PRINCIPLES OF STATISTICS (4)  Offered in current or future terms
Study design, descriptive statistics, the use of probability in statistical arguments, sampling, hypothesis tests and confidence intervals for means and proportions. Lec/rec. PREREQS: High school algebra. ST 201 and ST 202 must be taken in order.

Top ST 202 PRINCIPLES OF STATISTICS (4)  Offered in current or future terms
Comparisons of means and proportions between two populations (t-tests, chi-square tests, nonparametric tests), simple linear regression, correlation. Lec/rec. PREREQS: ST 201 [D-]

Top ST 314 INTRODUCTION TO STATISTICS FOR ENGINEERS (3)  Offered in current or future terms
Probability, common probability distributions, sampling distributions, estimation, hypothesis testing, control charts, regression analysis, experimental design. PREREQS: (MTH 252 [D-] or MTH 252H [D-] )

Top ST 351 INTRODUCTION TO STATISTICAL METHODS (4)  Offered in current or future terms
Study designs, descriptive statistics, collecting and recording data, probability distributions, sampling distributions for means and proportions, hypothesis testing and confidence intervals for means and proportions in one- and two-sample inference, and chi-square tests. Lec/lab. PREREQS: High school algebra with statistics. ST 351 and ST 352 must be taken in order.

Top ST 351H INTRODUCTION TO STATISTICAL METHODS (4)  Offered in current or future terms
Study designs, descriptive statistics, collecting and recording data, probability distributions, sampling distributions for means and proportions, hypothesis testing and confidence intervals for means and proportions in one- and two-sample inference, and chi-square tests. Lec/lab. PREREQS: High school algebra with statistics. ST 351 and ST 352 must be taken in order. Honors College approval required.

Top ST 352 INTRODUCTION TO STATISTICAL METHODS (4)  Offered in current or future terms
Randomization tests and other nonparametric tests for one- and two-sample inference, simple and multiple linear regression, correlation, one- and two-way analysis of variance, logistic regression. Lec/lab. PREREQS: (ST 351 [D-] or ST 351H [D-] ) and ST 351 and ST 352 must be taken in order.

Top ST 406 PROJECTS (1-16)  Offered in current or future terms
Section 1: Projects, graded P/N. Section 2: Teaching Experience, graded P/N. Section 3: Directed Work, graded P/N. This course is repeatable for a maximum of 16 credits.

Top ST 407 SEMINAR (1)  Offered in current or future terms
Attendance at consulting practicum. Graded P/N.

Top ST 410 INTERNSHIP (1-16)  Offered in current or future terms
Graded P/N. This course is repeatable for a maximum of 16 credits.

Top ST 411 METHODS OF DATA ANALYSIS (4)  Offered in current or future terms
Graphical, parametric and nonparametric methods for comparing two samples; one-way and two-way analysis of variance; simple linear regression. Lec/lab. PREREQS: ST 351 or the equivalent. ST 411, ST 412 and ST 413 must be taken in order.

Top ST 412 METHODS OF DATA ANALYSIS (4)  Offered in current or future terms
Multiple linear regression, including model checking, dummy variables, using regression to fit analysis of variance models, analysis of covariance, variable selection methods. Lec/lab. PREREQS: ST 411 [D-] and ST 351 or the equivalent.

Top ST 413 METHODS OF DATA ANALYSIS (4)  Offered in current or future terms
Principles of experimental design; randomized block and factorial designs; repeated measures; categorical data analysis, including comparison of proportions, tests of homogeneity and independence in cross-classified frequency tables, Mantel-Haenszel test, logistic regression, log-linear regression. Introduction to multivariate statistics. Lec/lab. PREREQS: ST 412 [D-] and ST 351 or the equivalent.

Top ST 415 DESIGN AND ANALYSIS OF PLANNED EXPERIMENTS (3)  Offered in current or future terms
Principles of experimental design; uses, construction and analysis of completely randomized, randomized block and Latin square designs; covariates; factorial treatments, split plotting; random effects and variance components. PREREQS: (ST 352 [D-] or ST 411 [D-] or ST 511 [D-] )

Top ST 421 INTRODUCTION TO MATHEMATICAL STATISTICS (4)  Offered in current or future terms
Probability, random variables, expectation, discrete and continuous distributions, multivariate distributions. PREREQS: MTH 253. ST 421 and ST 422 must be taken in order.

Top ST 422 INTRODUCTION TO MATHEMATICAL STATISTICS (4)  Offered in current or future terms
Sampling distributions, Central Limit Theorem, estimation, confidence intervals, properties of estimators, and hypothesis testing. PREREQS: ST 421 [D-] and MTH 253

Top ST 431 SAMPLING METHODS (3)  Offered in current or future terms
Estimation of means, totals and proportions; sampling designs including simple random, stratified, cluster, systematic, multistage and double sampling; ratio and regression estimators; sources of errors in surveys; capture-recapture methods. PREREQS: ST 411 or ST 511

Top ST 435 QUANTITATIVE ECOLOGY (3) 
Overview of statistical methods that are useful for analyzing ecological data, including spatial pattern analysis, multivariate techniques, logistic regression, Bayesian statistics and computer-intensive methods. Consideration of special topics such as population dynamics, food webs and ecological indicators. Not offered every year. PREREQS: (ST 412 [D-] or ST 512 [D-] )

Top ST 439 SURVEY METHODS (3) 
Survey design, data collection and analysis, general methodology. PREREQS: ST 201 [D-] or ST 351 [D-]

Top ST 441 PROBABILITY, COMPUTING, AND SIMULATION IN STATISTICS (4)  Offered in current or future terms
Review of probability, including univariate distributions and limit theorems. Random-number generation and simulation of statistical distributions. Bootstrap estimates of standard error. Variance reduction techniques. Emphasis on the use of computation in statistics using the MATLAB programming language. Lec/lab. PREREQS: (ST 422 [D-] or ST 522 [D-] )

Top ST 443 APPLIED STOCHASTIC MODELS (3)  Offered in current or future terms
Development of stochastic models commonly arising in statistics and operations research, such as Poisson processes, birth-and-death processes, discrete-time and continuous-time Markov chains, renewal and Markov renewal processes. Analysis of stochastic models by simulation and other computational techniques. PREREQS: (ST 421 [D-] or ST 521 [D-] ) and experience with a high-level programming language or mathematical computation package.

Top ST 499 SPECIAL TOPICS (1-4)  Offered in current or future terms
This course is repeatable for a maximum of 8 credits.



 
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