**STP 220 Conceptual Statistics. (3)**

*fall and spring*

Treats the concepts and vocabulary needed to evaluate statistical reports on health, technology, and society. Aggressively emphasizes understanding over computation. Lecture, teamwork. Prerequisite: MAT 114 or 117 (or its equivalent).

*General Studies: CS*

**STP 226 Elements of Statistics. (3)**

*fall, spring, summer*

Basic concepts and methods of statistics, including descriptive statistics, significance tests, estimation, sampling, and correlation. Not open to majors in mathematics or the physical sciences. Prerequisite: MAT 114 or 117 (or its equivalent).

*General Studies: CS*

**STP 326 Intermediate Probability. (3)**

*fall and spring*

Probability models and computations, joint and conditional distributions, moments, and families of distributions. Topics in stochastic processes, simulation, and statistics. Prerequisite: MAT 210 (or its equivalent).

*General Studies: CS*

**STP 420 Introductory Applied Statistics. (3)**

*fall, spring, summer*

Introductory probability, descriptive statistics, sampling distributions, parameter estimation, tests of hypotheses, chi-square tests, regression analysis, analysis of variance, and nonparametric tests. Prerequisite: MAT 117 (or its equivalent).

*General Studies: CS*

**STP 421 Probability. (3)**

*fall*

Laws of probability, combinatorial analysis, random variables, probability distributions, expectations, moment-generating functions, transformations of random variables, and central limit theorem. Prerequisites: MAT 272 and 300 and STP 420 (or their equivalents).

**STP 425 Stochastic Processes. (3)**

*spring*

Markov chains, stationary distributions, pure jump processes, 2D order processes, and other topics in stochastic processes. Prerequisites: MAT 342; STP 421.

**STP 427 Mathematical Statistics. (3)**

*spring*

Limiting distributions, interval estimation, point estimation, sufficient statistics, and tests of hypotheses. Prerequisites: STP 420, 421.

**STP 429 Experimental Statistics. (3)**

*spring*

Statistical inference for controlled experimentation. Multiple regression, correlation, analysis of variance, multiple comparisons, and nonparametric procedures. Prerequisite: STP 420 (or its equivalent).

*General Studies: CS*

**STP 525 Advanced Probability. (3)**

*selected semesters*

Measure-theoretic foundations of probability, distribution functions and characteristic functions, laws of large numbers and central limit theorems, conditional probabilities, martingales, and topics in stochastic processes. Prerequisites: both MAT 571 and STP 421 or only instructor approval.

**STP 526 Theory of Statistical Linear Models. (3)**

*fall*

Multinormal distribution, distribution of quadratic forms, full and nonfull rank models, generalized inverses, unbalanced data, variance components, and the large sample theory. Prerequisites: STP 427; knowledge of matrix algebra.

**STP 530 Applied Regression Analysis. (3)**

*fall*

Method of least squares, simple and multiple linear regression, polynomial regression, analysis of residuals, dummy variables, and model building. Prerequisite: STP 420 (or its equivalent).

**STP 531 Applied Analysis of Variance. (3)**

*spring*

Factorial designs, balanced and unbalanced data, fixed and random effects, randomized blocks, Latin squares, analysis of covariance, and multiple comparisons. Prerequisite: STP 420 (or its equivalent).

**STP 532 Applied Nonparametric Statistics. (3)**

*fall*

One-sample test, tests of 2 or more related or independent samples, measures of correlation, and tests of trend and dependence. Prerequisite: STP 420 (or its equivalent).

**STP 533 Applied Multivariate Analysis. (3)**

*spring*

Discriminant analysis, principal components, factor analysis, cluster analysis, and canonical correlation. Prerequisite: STP 420 (or its equivalent).

**STP 534 Applied Discrete Data Analysis. (3)**

*selected semesters*

Models for discrete and count data, measures of association, and log-linear and regression models for contingency tables. Prerequisite: STP 420 (or its equivalent).

**STP 535 Applied Sampling Methodology. (3)**

*spring*

Simple random, stratified, cluster sampling; variance estimation in complex surveys; nonparametric superpopulation approaches; nonresponse models; computational methods. Prerequisite: STP 420 (or its equivalent).

**STP 591 Seminar. (1 – 12)**

*selected semesters*

Topics may include the following:

• | Probability. (1 – 3) |

• | Statistics. (1 – 3) |

**STP 593 Applied Project. (1 – 12)**

*selected semesters*

**STP 599 Thesis. (1 – 12)**

*selected semesters*

**Omnibus Courses.** For an explanation of additional courses offered but not specifically listed, see “Omnibus Courses.”

Page Last Updated: | Visits to this page: | Web Site Feedback | Copyright © Arizona Board of Regents |