Undergraduate Courses
20142015 Course Resources
Undergraduate Courses
Lower Division Courses

STAT 040  Elements of Statistics
4 Units
Lecture, 3 hours; discussion, 1 hour.
Prerequisite(s): none. An introduction to statistics.
A Bayesian introduction to statistics. Advocates that estimates, hypothesis tests, and decisions be made from information developed from a formal combination of current and prior data. Topics include summarizing and displaying data, designing experiments, probability, Bayesâ€™ rule, inferences from proportions and normal populations, sampling, and regression analysis. Utilizes MINITAB. Credit is not awarded if it has already been awarded for STAT 048, STAT 100A, or STAT 100B

STAT 048  Statistics for Business
Five Units
Lecture, 3 hours; discussion, 1 hour; laboratory, 3 hours.
Prerequisite(s): CS 008 or equivalent; MATH 004 or MATH 005 or MATH 008A or MATH 009A or MATH 9HA or equivalent.
An introduction to statistics using business applications. Topics include descriptive statistics, probability, discrete and continuous distributions, Bayesâ€™ theorem, random variables, estimation and confidence intervals, hypothesis testing, analysis of variance, and simple linear regression. Credit is awarded for only one of STAT 048 or STAT 100A.
Upper Division Courses

Statistics 100AB  Introduction to Statistic
5 Units
Lecture, three hours; discussion, one hour; laboratory, three hours.
Prerequisite(s): MATH 005 or MATH 008A or MATH 009A or MATH 9HA or equivalent.
(A) A general introduction to descriptive and inferential statistics. Topics include histograms; descriptive statistics; probability; normal, binomial, and Poisson distributions; sampling distributions; hypothesis testing; and confidence intervals. Credit is awarded for only one of Statistics 048 or 100A.
(B) Topics include linear regression, correlation, analysis of variance, and simple experimental designs. Prerequisite: STAT 100A with a grade of "C" or better.

Statistics 104  Decision Analysis and Management Science
4 Units
Lecture, three hours; discussion, one hour.
Prerequisite(s): Mathematics 023, Computer Science 008 or equivalent; upperdivision standing.
A survey of deterministic and probabilistic models for decision making. Topics include linear programming and extensions, networks, dynamic programming, decision trees, queuing models, and simulation. Explores the application of these models in decision making. Emphasizes use of the computer. Crosslisted with BUS 104.

Statistics 110  BIOSTATISTICAL Methods in Life Science
5 Units
Lecture, three hours; discussion, one hour; laboratory, three hours.
Prerequisite(s): Stat 100B or consent of instructor.
Provides undergraduate students majoring or interested in life sciences with statistical tools for analyzing different types of data frequently encountered in life sciences. Emphasizes applications of methodology, including contingency table analysis, linear regression and ANOVA, maximum likelihood method and the estimationmaximization algorithm, logistic regression, Poisson regression, and survival analysis.

Statistics 127  Introduction to Quality Improvements
4 Units
Lecture, three hours; discussion, one hour.
Prerequisite(s): STATs 48 or STAT 100A or consent of instructor.
Explores Deming's 14 points for management, graphical methods, fishbone diagram, Pareto analysis, control charts for attributes and variables, custom and moving average charts, process capability, economic design, acceptance sampling, Taguchi method, parameter design, tolerance design, reliability, hazard rate, censoring, and accelerated life testing. Crosslisted with BUS 127.

Statistics 130  Sampling Surveys
4 Units
Lecture, three hours; discussion, one hour.
Prerequisite(s): Statistics 100B or equivalent.
Covers simple random sampling, addresses stratified sampling, cluster sampling, and ratio and regression estimates. Explores random response, capturerecapture, and jackknife techniques.

Statistics 140  Nonparametric Techniques
4 Units
Lecture, three hours; discussion, one hour.
Prerequisite(s): Statistics 100B or equivalent.
Randomization tests. Rank tests. Methods of association. Distributionfree tests.

Statistics 146  Statistical Forecasting Techniques
4 Units
Lecture, three hours; discussion, one hour.
Prerequisite(s): Statistics 100B or equivalent.
Topics include exponential smoothing, simple and multiple regression analysis, time series, trend analysis, and seasonal analysis.

Statistics 147  Introduction to Statistical Computing
4 Units
Lecture, three hours; discussion, one hour.
Prerequisite(s): STAT 100A or equivalent.
Introduction to computerassisted data analysis and statistical inference using both the R and SAS packages. Topics include input, output, and editing of data; graphical procedures; descriptive statistics; crosstabulation; inferential statistical techniques including estimation and testing; and analysis of variance.

Statistics 155  Probability and Statistics for Science and Engineering
4 Units
Lecture, three hours; discussion, one hour.
Prerequisite(s): Math 009C or MATH 09HC (MATH 009C or MATH 09HC may be taken concurrently).
Covers sample spaces and probability; random variables and probability distributions; elements of statistical inference; and testing and estimation. Also addresses selected topics in multivariate distributions and introduces stochastic processes.

Statistics 157  Statistical Computer Packages
4 Units
Lecture, three hours; discussion, one hour.
Prerequisite(s): Statistics 100B with a grade of c or better, or equivalents; Statistics 147 with a grade of c or better; or consent of instructor.
A study of major statistical packages, including SAS with the emphasis on advanced SAS programming. Topics include advanced graphical procedures, linear models (regression and analysis of variance), multivariate techniques, and SAS macros.

Statistics 160ABC  Elements of Probability and Statistical Theory
4 Units
Lecture, three hours; discussion, one hour.
Prerequisite(s): Math 009C or Math 09HC (may be taken concurrently).
(A) Topics included statistical regularity, probability spaces, fundamental theorems in discrete probability, Bayes' theorem, random variables, densities and distribution functions, and continuous distributions. Credit is awarded for only one of MATH 149A or STAT 160A.
(B) Topics include transformations of random variables and central limit theorem, distributions of sample statistics, statistical inference, and estimation. Prerequisite: STAT 160A with a grade of "C" or better. Credit is awarded for only one of MATH 149B or STAT 160B.
(C) Topics include hypothesis testing, chisquare tests, and nonparametric methods. Prerequisite: STAT 160B with a grade of "C" or better. Credit is awarded for only one of MATH 149C or STAT 160C.

Statistics 161  Introduction to Probability Models
4 Units
Lecture, three hours; discussion, one hour.
Prerequisite(s): Statistics 160B or equivalent with a grade of "C" or better
Covers compound distributions, branching processes and random walk. Explores continuous time models such as Poisson processes and queuing models. Examines the Markov property and introduces Markov chains. Also covers simple time series models.

Statistics 170A  Regression Analysis
4 Units
Lecture, three hours; discussion, one hour.
Prerequisite(s): Statistics 157 and STAT160C or equivalents.
Topics include simple and multiple linear regression, scatterplots, and point and interval estimation. Addresses prediction, testing, calibration, interpretation, and practical applications of multiple regression. Explores simple, partial, and multiple correlation; variable selection methods; diagnostic procedures; and regression for longitudinal data.

Statistics 170B  Design of Experiments
4 Units
Lecture, three hours; discussion, one hour.
Prerequisite(s): Statistics 170A with a grade of "C" or better.
Topics include principles of design; completely randomized designs; and oneway analysis of variance. Covers complete block designs and twoway analysis of variance; multiple comparisons; complete factorial experiments. Explores fixed, random, and mixed models; splitplot designs; nested designs; analysis of covariance; sample size determination; and power analysis.

Statistics 171  General Statistical Models
4 Units
Lecture, three hours; discussion, one hour.
Prerequisite(s): Statistics 170B.
Generalized linear models and least squares. Analysis of covariance, nonlinear regression and nonlinear least squares. Regression methods for discrete data; loglinear models, logistic regression, discriminant analysis. Regression methods for life data. Cox survival model, KaplanMeier estimation, MantelHaenszel test.

Statistics 183  Statistical Consulting
4 Units Lecture, three hours; discussion, one hour
Prerequisite(s): Statistics 155, 157, 170B, 171 (may be taken concurrently); senior standing.
Introduces the statistical consulting process. Promotes consulting skills, including developing effective communications skills, applying statistical methodology to client projects, and learning how to manage time and resources in a consulting environment. Satisfactory (S) or No Credit (NC) grading is not available.

Statistics 190  Special Studies
15 Units
Hours to be arranged
Prerequisite(s): Consent of the chairman.
To be taken with the consent of the chair of the department as a means of meeting special curricular problems. Course is repeatable to a maximum of 10 units.

Statistics 197  Research for Undergraduates
Outside research, 36 hours; individual study, 36 hours
Hours to be arranged
Prerequisite(s): Upperdivision standing or consent of instructor.
An introduction to research in Statistics. Requires a research project completed under the supervison of a Statistics faculty member or a group of faculty members. Students who make an oral presentation of the research project or submit a written research report receive a letter grade; other students receive a S/NC grade. Course is repeatable as research topic changes to a maximum of 8 units.

Statistics 198I  Internship in Statistics
112 Units
Hours to be arranged
Prerequisite(s): Statistics 100B, consent of instructor, upperdivision standing.
An internship to provide the student with statistical field experience in governmental, industrial, or research units. Each individual project must be approved by the Statistics Department and the head of the unit in which the internship is to be carried out. A written report is required. May be repeated for a total of 16 units but not more than 12 can count toward graduation. S/NC only.

Statistics 199H  Senior Honors Research
15 Units
Hours to be arranged
Prerequisite(s): Senior standing with a major concentration in statistics and consent of instructor.
Course is repeatable to a maximum of 10 units.