Apr 23, 2024  
2018-2019 Undergraduate and Graduate Catalog 
    
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2018-2019 Undergraduate and Graduate Catalog [ARCHIVED CATALOG]

Courses

 

Statistics

Satisfying the Entry‑Level Math (ELM) requirement is a prerequisite for all statistics courses.
  

  • STAT 90 - Foundations for Statistics

    (1 unit)

    Corequisite: STAT 108  or PSY 110  or HDEV 190  or SOC 170 .
    Topics and skills that support student success in the introductory statistics which may include beginning algebra, ratios, probability, graphical and tabular displays of data, elementary data analysis, measures of central tendency and variability, and linear models.

    Supplemental: This course is designed as a co-requisite course and should only be taken with introductory statistics. Students required to enroll in this co-requisite course must remain enrolled in both courses for the semester. Students will not be permitted to withdraw from one of the courses (either STAT 90 or one of the corequisite courses listed above) and not the other.

    Credit/ No-Credit option (Activity 2 hours). May be repeated to a maximum of 2 units in different semesters.

  

  • STAT 108 - Statistics for Everyday Life

    (3 units)

    Prerequisites/Corequisites: Appropriate Multiple Measures Placement or concurrent enrollment in STAT 90 .

    Exploratory data analysis, methods of visualizing data, descriptive statistics, misuse and manipulation of data in statistical analysis, probability, binomial and normal distributions, hypothesis testing, correlation and regression, contingency tables.

    (Lecture 3 hrs.) Not open for credit to students with credit in MATH 108, MATH 180, MATH 380 ; or MTED 105, MTED 205 .
  

  • STAT 118 - Introductory Business Statistics

    (3 units)

    Prerequisites/Corequisites: Appropriate CSULB Algebra and Calculus Placement.

    Sampling methods, data collection, organizing and visualizing, descriptive statistics, random variables, probability distributions, point and interval estimation, hypothesis testing, correlation, regression, contingency tables, applications in business, finance, econometrics, and marketing research.

    (Lecture 3 hours)
  

  • STAT 381 - Mathematical Statistics

    (3 units)

    Prerequisites: MATH 247  and a grade of “C” or better in MATH 380 .
    Estimation and hypothesis testing. Maximum likelihood and method of moments estimation. Efficiency, unbiasedness, and asymptotic distribution of estimators. Neyman-Pearson Lemma. Goodness-of-fit tests. Correlation and regression. Experimental design and analysis of variance. Nonparametric methods.

    Letter grade only (A-F). (Lecture 3 hrs.) Not open for credit to students with credit in MATH 381.
  

  • STAT 410 - Applied Regression Analysis

    (3 units)

    Prerequisite: STAT 381 . 
    Fundamental concepts and applications of regression analysis. Simple linear regression: inference, prediction, residual analysis, outlier detection, transformations. Multiple linear regression: influence diagnostics, multicollinearity, variable selection, simultaneous estimation and inference, validation techniques. Logistic Regression; Poisson Regression; ANOVA; ANCOVA. Statistical software used.

    Letter grade only (A-F). (Lecture 3 hrs.) Not open for credit to students with credit in MATH 480 or MATH 590 .
  

  • STAT 450 - Applied Multivariate Statistical Analysis

    (3 units)

    Prerequisite: STAT 381 . 
    Prerequisite/Corequisite STAT 410 .

    Basic concepts and applications of multivariate methods including: inferences about mean vectors and covariance matrices; multivariate regression; multivariate analysis of variance; data reduction using principal components, factor and cluster analysis; classification using discriminant analysis and logistic regression. Statistical software used.

    Letter grade only (A-F). (Lecture 3 hrs.) Not open for credit to students with credit in MATH 483 or MATH 593.
  

  • STAT 475 - Data Analysis with SAS

    (3 units)

    Prerequisite: STAT 381  or consent of instructor.
    Topics include: Statistical analysis including extraction, presentation of data in graphical form, creation, modification of datasets, interpretation of output, writing of reports. Provides SAS programming techniques for aforementioned topics preparation for SAS base certification.

    Letter grade only (A-F). (Lecture 3 hrs.) Not open for credit to students with credit in MATH 489.
  

  • STAT 482 - Random Processes

    (3 units)

    Prerequisites: MATH 247  and MATH 380 .
    Further topics in probability. Markov processes. Renewal theory. Random walks. Queueing theory. Poisson processes. Brownian motion.

    Letter grade only (A-F). (Lecture 3 hrs.) Not open for credit to students with credit in MATH 382.
  

  • STAT 483 - Survey Sampling

    (3 units)

    Prerequisites: STAT 381  or consent of instructor
    Theory and practice of sampling from finite populations. Simple random sampling, stratified random sampling, systematic sampling, cluster sampling, bootstrap/resampling methods, spatial sampling/kriging, properties of various estimators including ratio, regression, and difference estimators. Error estimation for complex samples.

    Letter grade only (A-F) (Lecture 3 hours)
  

  • STAT 484 - Actuarial Science: Models

    (3 units)

    Prerequisite: STAT 381  or consent of instructor.
    Statistical techniques applied to risk management. Expected utility theory, individual risk models, compound Poisson distributions and processes, ruin probability and first surplus, stop-loss and proportional reinsurance, statistical survival distributions and life tables, life annuity, actuarial present values, and premiums determination.

    Letter grade only (A-F). (Lecture 3 hrs.) Not open for credit to students with credit in MATH 484.
  

  • STAT 485 - Actuarial Science: Financial Mathematics

    (3 units)

    Prerequisite: STAT 381 .
    Simple and compound interests, stochastic approaches to interest and annuities, stochastic models of stock, Black- Scholes arbitrage pricing of options and other derivative securities, Markowitz portfolio optimization theory, Ito financial calculus, filtrations and martingales.

    Letter grade only (A-F). (Lecture 3 hrs.)
  

  • STAT 495 - Topics in Modern Statistics

    (3 units)

    Prerequisite: Consent of instructor. (Undergraduates register in STAT 495; graduates enroll in STAT 595 .)
    Topics of current interest from statistics literature.

    Letter grade only (A-F). (Lecture 3 hrs) STAT 595  Course may be repeated to a maximum of 6 units with different topics.
  

  • STAT 497 - Directed Studies

    (1-6 units)

    Prerequisite: Consent of instructor. Junior or senior standing and consent of instructor.
    Letter grade only (A-F). Not open to graduate students.
  

  • STAT 510 - Regression Analysis

    (3 units)

    Prerequisite: STAT 381 . (Undergraduates register in STAT 410 ; graduates enroll in STAT 510.)
    Simple linear regression: estimation and inference, prediction, analysis of residuals, detection of outliers, use of transformations. Multiple linear regression: influence diagnostics, multi-collinearity, selection of variables, simultaneous estimation and inference, validation techniques. Statistical software for data analysis used.

    Letter grade only (A-F). (Lecture 3 hrs.) Not open for credit to students with credit in MATH 480 or MATH 590  or STAT 410 .
  

  • STAT 520 - Statistical Inference

    (3 units)

    Prerequisite: STAT 381  or consent of instructor.
    Properties of a random sample, convergence in probability, law of large numbers, sampling from the normal distribution, the central limit theorem, principles of data reduction, likelihood principle, point estimation, Bayesian estimation, methods of evaluating estimators, hypothesis testing, decision theory, confidence intervals.

    Letter grade only (A-F). (Lecture 3 hrs.) Not open for credit to students with credit in MATH 580.
  

  • STAT 530 - Experimental Design

    (3 units)

    Prerequisite: STAT 381  or consent of instructor.
    Design of experiments to permit efficient analysis of sources of variation with application to quality assurance. Factorial and fractional factorial designs; block designs; confounding. Fixed and random effect models. Effects of departure from assumptions; transformations. Response surface techniques. Taguchi methods.

    Letter grade only (A-F). (Lecture 3 hrs.) Not open for credit to students with credit in MATH 581.
  

  • STAT 532 - Statistical Quality Control

    (3 units)

    Prerequisite: STAT 381  or consent of instructor.
    Introduction to methods of statistical quality control. Includes control charts, acceptance sampling, process capability analysis, and aspects of experimental design.

    Letter grade only (A-F). (Lecture 3 hrs.) Not open for credit to students with credit in MATH 584.
  

  • STAT 544 - Statistical Consulting

    (3 units)

    Prerequisites: STAT 381  and STAT 410 /STAT 510  or consent of instructor.
    The methodology of statistical consulting: guidelines for clientconsultant communications, presentations to clients, basics of writing final technical reports, thorough case studies involving advanced statistical analysis, invited client presentations, real-life projects, group discussions, written and oral statistical reports by students.

    Letter grade only (A-F). (Lecture 3 hrs.)
  

  • STAT 550 - Multivariate Statistical Analysis

    (3 units)

    Prerequisite: STAT 381 . 
    Prerequisite/Corequisite: STAT 510 . 

    Discriminate analysis, principal components, factor analysis, cluster analysis, logistic regression, canonical correlation, multidimensional scaling, and some nonlinear techniques. Statistical software used.

    Letter grade only (A-F). (Lecture 3 hrs.) Not open for credit to students with credit in MATH 483 or MATH 593 or STAT 450 .
  

  • STAT 560 - Nonparametric Statistics

    (3 units)

    Prerequisite: STAT 410  or STAT 510 , or consent of instructor.
    Alternatives to normal-theory statistical methods, analysis of categorical and ordinal data, methods based on ranks, measures of association, goodness of fit tests, order statistics.

    Letter grade only (A-F). (Lecture 3 hrs.) Not open for credit to students with credit in MATH 585.
  

  • STAT 572 - Computational Statistics

    (3 units)

    Prerequisite: STAT 381  or consent of instructor.
    Random number generation, sampling and subsampling, exploratory data analysis, Markov chain Monte Carlo methods, density estimation and EM algorithm. Topics of current interest.

    Letter grade only (A-F). (Lecture 3 hrs.)
  

  • STAT 574 - Data Mining

    (3 units)

    Prerequisite: STAT 410 , or STAT 510 , or consent of instructor.
    Basics of data mining algorithms with emphasis on industrial applications. Prediction and classification techniques such as decision trees, neural networks, Multivariate Adaptive Regression Splines, and other methods. Several software packages utilized.

    Letter grade only (A-F). (Lecture 3 hrs.) Not open for credit to students with credit in MATH 586.
  

  • STAT 576 - Data Informatics

    (3 units)

    Prerequisite: STAT 410 /STAT 510  or consent of instructor.
    Genetic algorithms, fuzzy logic, discrete choice analysis, online analytical processing, structured query language, statistical database management, and text and web mining. Topics of current interest.

    Letter grade only (A-F). (Lecture 3 hrs).
  

  • STAT 580 - Time Series

    (3 units)

    Prerequisite: STAT 381  or consent of instructor.
    Includes moving averages, smoothing, Box-Jenkins (ARIMA) models, testing for nonstationarity, model fitting and checking, prediction and model selection, seasonal adjustment, ARCH, GARCH, cointegration, state-space models. Statistical packages used throughout the course.

    Letter grade only (A-F). (Lecture 3 hrs.) Not open for credit to students with credit in MATH 582.
  

  • STAT 590 - Survival Analysis

    (3 units)

    Prerequisite: STAT 381  or consent of instructor.
    Survival data; life tables; nonparametric methods; parametric methods; accelerated failure time models; proportional hazards models; partial likelihood; extensions of the proportional hazards model; advanced topics.

    Letter grade only (A-F). (Lecture 3 hrs.)
  

  • STAT 592 - Advanced Methods in Biostatistics

    (3 units)

    Prerequisite: STAT 381  or consent of instructor
    Standard and advanced methodology, theory, algorithms, and applications relevant for analysis of repeated measurements and longitudinal data in biostatistical settings. Generalized Linear Models. Additional topics at the discretion of the instructor may include statistical principles of clinical designs.

    Letter grade only (A-F).
  

  • STAT 595 - Topics in Modern Statistics

    (3 units)

    Prerequisite: Consent of instructor. (Undergraduates register in STAT 495 ; graduates enroll in STAT 595.)
    Topics of current interest from statistics literature.

    Letter grade only (A-F). (Lecture 3 hrs) STAT 495  Course may be repeated to a maximum of 6 units with different topics.
  

  • STAT 695 - Seminar in Applied Statistics

    (3 units)

    Prerequisite: Consent of instructor.
    Presentation and discussion of advanced work in applied statistics.

    Letter grade only (A-F). May be repeated to a maximum of six units.
  

  • STAT 697 - Directed Studies in Applied Statistics

    (1-3 units)

    Prerequisite: Consent of instructor.
    Research on a specific area in applied statistics. Topic for study to be approved and directed by a statistics faculty member.

    Credit/No Credit only.
  

  • STAT 698 - Thesis or Project

    (1-6 units)

    Prerequisite: Advancement to candidacy.
    Formal report of research or project in mathematics.

    Letter grade only (A-F). May be repeated to a maximum of 6 units.