Stat 100. Statistical Concepts and Reasoning. (GQ, 3) An Introduction to the art and science of decision making in the presence of uncertainty.

Stat 200. Elementary Statistics. (GQ, 4) Descriptive statistics, frequency distributions, probability, binomial and normal distributions, statistical inference, linear regression, and correlation. Prerequisite: 2 units in algebra.

Stat 220. Basic Statistics for Quantitative Students. (3) Descriptive statistics, probability, binomial and normal distributions, one and two sample models, introduction to regression, ANOVA and contingency tables. Students may only take one course from STAT 200, 220, and 250 for credit. Prerequisite: MATH 140.

Stat 240. Introduction to Biometry. (3) Statistical analysis, sampling, and experimentation in the agricultural sciences; data collection, descriptive statistics, statistical inference, regression, one factor ANOVA, probability. Students may take only one course from STAT 200, 220, 240, 250 for credit. Prerequisite: three credits in mathematics.

Stat 250. Introduction to Biostatistics. (GQ, 3) Statistical analysis and interpretation of data in the biological sciences; probability; distributions; statistical inference for one- and two-sample problems. Prerequisite: 3 credits in mathematics.

Stat 301. Statistical Analysis. (GQ, 3) Probability concepts; nature of statistical methods; elementary distribution and sampling theory; fundamental ideas relative to estimation and testing hypotheses. Prerequisite: 3 credits of calculus.

Stat (Math) 318. Elementary Probability. (3) Combinatorial analysis, axioms of probability, conditional probability and independence, discrete and continuous random variables, expectation, limit theorems, additional topics. Students who have passed either Stat (Math) 414 or Stat (Math) 418 may not schedule this course for credit. Prerequisite: MATH 141.

Stat (Math) 319. Applied Statistics in Science. (3) Statistical inference: principles and methods, estimation and testing hypotheses, regression and correlation analysis, analysis of variance, computer analysis. Students who have passed Stat (Math) 415 may not schedule this course for credit. Prerequisite: Stat 318 or knowledge of basic probability.

Stat 401. Experimental Methods. (3) Random variables; probability density functions; estimation; statistical tests, t-tests; correlation; simple linear regression; one-way analysis of variance; randomized blocks. Prerequisite: Math 111 or Math 141.

Stat 414. Introduction to Probability Theory. (3) Probability spaces, discrete and continuous random variables, transformations, expectations, generating functions, conditional distributions, law of large numbers, central limit theorems. Students may take only one course from Stat (Math) 414 and Stat (Math) 418 for credit. Prerequisite: MATH 231.

Stat (Math) 415. Introduction to Mathematical Statistics. (3) A theoretical treatment of statistical inference, including sufficiency, estimation, testing, regression, analysis of variance, and chi-square tests. Prerequisite: Stat (Math) 414.

Stat (Math) 416. Stochastic Modeling. (3) Review of distribution models, probability generating functions, transforms, convolutions, Markov chains, equilibrium distributions, Poisson process, birth and death processes, estimation. Prerequisites: Stat (Math) 318 or Stat (Math) 414; Math 230.

Stat (Math) 418. Probability. (3) Fundamentals and axioms, combinatorial probability, conditional probability and independence, probability laws, random variables, expectation; Chebyshev's inequality. Students may take only one course from Stat (Math) 414 and Stat (Math) 418 for credit. Prerequisite: Math 230 or Math 231.

(Discontinued in 1999). Stat 451. Introduction to Applied Statistics. (3) Application of statistics to research; descriptive statistics, binomial and normal distributions, t-tests and intervals, linear regression and correlation. Students who have passed Stat 200 or Stat 319 may not schedule this course. Prerequisite: 2 units of algebra.

Stat 460. Intermediate Applied Statistics. (3) Review of hypothesis testing, goodness-of-fit tests, regression, correlation analysis, completely randomized designs, randomized complete block designs, latin squares. Prerequisite: Stat 200, Stat 240, Stat 250, Stat 301, or Stat 401.

Stat 462. Applied Regression Analysis. (3) Introduction to linear and multiple regression; correlation; choice of models, stepwise regression, nonlinear regression. Prerequisite: Stat 200, Stat 240, Stat 250, Stat 301, or Stat 401.

Stat 464. Applied Nonparametric Statistics. (3) Tests based on nominal and ordinal data for both related and independent samples. Chi-square tests, correlation. Prerequisite: Stat 200, Stat 240, Stat 250, Stat 301, or Stat 401.

Stat 470W. Problem Solving and Communication in Applied Statistics. (3) Provide problem solving and communication skills through development of writing ability, interaction with peers and the Statistical Consulting Center, and oral presentations. Prerequisite: Stat 460, Stat 462, Stat 480.

Stat 480. Introduction to Statistical Program Packages. (1) Selection and evaluation of statistical computer packages. Prerequisite: 3 credits in statistics.

Stat 496. Independent Studies. (1-18)

Stat 497. Special Topics. (1-9)