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Undergraduate Courses

STAT 201 - ELEMENTARY STATISTICAL INFERENCE
STAT 211 - PRINCIPLES OF STATISTICS I
STAT 212 - PRINCIPLES OF STATISTICS II
STAT 301 - INTRODUCTION TO BIOMETRY
STAT 302 - STATISTICAL METHODS
STAT 303 - STATISTICAL METHODS
STAT 307 - SAMPLE SURVEY TECHNIQUES
STAT 407 - PRINCIPLES OF SAMPLE SURVEYS
STAT 408 - INTRODUCTION TO LINEAR MODELS
STAT 414 - MATHEMATICAL STATISTICS I
STAT 415 - MATHEMATICAL STATISTICS II
STAT 485 - DIRECTED STUDIES

201. (MATH 1342, 1442) Elementary Statistical Inference. (3-0). Credit 3. I, II

Data collection, tabulation and presentation; elementary description of the tools of statistical inference; probability, sampling and hypothesis testing; applications of statistical techniques to practical problems. May not be taken for credit after any other course in statistics or INFO303 has been taken.

211. Principles of Statistics I. (3-0). Credit 3. I, II, S

Introduction to probability and probability distributions; sampling and descriptive measures; inference and hypothesis testing; linear regression, analysis of variance. Prerequisite: MATH 152 or 172.

212. Principles of Statistics II. (3-0). Credit 3. I, II

Continuation of STAT 211. Design of experiments, model building, multiple regression, nonparametric techniques, contingency tables and short introductions to response surfaces, decision theory and time series data. Prerequisite: STAT 211.

301. Introduction to Biometry. (3-0). Credit 3. I, II

Intended for students in animal sciences. Introduces fundamental concepts of biometry including measures of location and variation, probability, tests of significance, regression, correlation and analysis of variance which are used in advanced courses and are being widely applied to animal-oriented industry. Credit will not be allowed for more than one of STAT 301, 302 or 303. Prerequisite: MATH 141 or 166 or equivalent.

302. Statistical Methods. (3-0). Credit 3. I, II, S

Intended for undergraduate students in the biological sciences and agriculture (except agricultural economics). Introduction to concepts of random sampling and statistical inference; estimation and testing hypotheses of means and variances; analysis of variance; regression analysis; chi-square tests. Credit will not be allowed for more than one of STAT 301, 302 or 303. Prerequisite: MATH 141 or 166 or equivalent.

303. Statistical Methods. (3-0). Credit 3. I, II, S

Intended for undergraduate students in the social sciences. Introduction to concepts of random sampling and statistical inference, estimation and testing hypotheses of means and variances, analysis of variance, regression analysis, chi-square tests. Credit will not be allowed for more than one of STAT 301, 302 or 303. Prerequisite: MATH 141 or 166 or equivalent.

307. Sample Survey Techniques. (3-0). Credit 3. I, II, S

Concepts of population and sample; the organization of a sample survey; questionnaire design. Basic survey designs and computation of estimates and variances. Prerequisites: STAT 301 or 302 or 303 or INFO 303.

407. Principles of Sample Surveys. (3-0). Credit 3. I

Principles of sample surveys and survey design; techniques for variance reduction; simple, stratified and multi-stage sampling; ratio and regression estimates; post-stratification; equal and unequal probability sampling. Prerequisite: STAT 212.

408. Introduction to Linear Models. (3-0). Credit 3. II

Introduction to the formulation of linear models and the estimation of the parameters of such models, with primary emphasis on least squares. Application to multiple regression and curve fitting. Prerequisites: STAT 212; MATH 304.

414. Mathematical Statistics I. (3-0). Credit 3. I

Introduction to the mathematical theory of statistics, including random variables and their distributions, expectation and variance, point estimation, confidence intervals and hypothesis testing. Prerequisite: MATH221, 251 or 253.

415. Mathematical Statistics II. (3-0). Credit 3. II

Continuation of the mathematical theory of statistics, including sampling and limiting distributions, principles for statistical inference and inference for bivariate and categorical data. Prerequisite: STAT 414.

485. Directed Studies. Credit 1 to 6. I, II, S

Special problems in statistics not covered by another course in the curriculum. Work may be in either theory or methodology. Prerequisite: Approval of instructor.

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