Oklahoma State University

754

Statistics (STAT)

STAT 4043 Applied Regression Analysis Prerequisites: One of STAT 4013, STAT 4033, STAT 4053, STAT 5013 or equivalent. Description: Matrix algebra, simple linear regression, residual analysis techniques, multiple regression, dummy variables. Credit hours: 3 Contact hours: Lecture: 3 Levels: Graduate, Undergraduate Schedule types: Lecture Department/School: Statistics STAT 4053 Statistical Methods I for the Social Sciences (A) Prerequisites: MATH 1513 with a grade of "C" or better; or an acceptable placement score (see placement.okstate.edu). Description: Basic experimental statistics, basic probability distributions, methods of estimation, tests of significance, linear regression, calculation and analysis of variance for one and two-way classifications. No degree credit for students with credit in STAT 4013. Credit hours: 3 Contact hours: Lecture: 3 Levels: Undergraduate Schedule types: Lecture Department/School: Statistics General Education and other Course Attributes: Analytical & Quant Thought STAT 4063 Statistical Methods II for the Social Sciences Prerequisites: STAT 3013 or STAT 4013 or STAT 4033 or STAT 4053. Description: Basic concepts of experimental design. Analysis of variance, covariance, split-plot design. Factorial arrangements of treatments, multiple and curvilinear regression, enumeration data. No degree credit for students with credit in STAT 4023. Credit hours: 3 Contact hours: Lecture: 3 Levels: Graduate, Undergraduate Schedule types: Lecture Department/School: Statistics STAT 4073 Engineering Statistics with Design of Experiments Prerequisites: MATH 2163. Description: Random variables and basic probability distributions, estimation, confidence intervals, hypothesis testing, basic analysis of variance, factorial arrangement of treatments and fractional factorial experiments, elementary quality control. No degree credit for students with credit in STAT 4033. Credit hours: 3 Contact hours: Lecture: 3

STAT 4191 R Programming Prerequisites: STAT 4013 or equivalent.

Description: R dataset construction, elementary statistical analysis, and use of statistics and graphics with R. May not be used for degree credit with STAT 4193, STAT 5191, STAT 5193. Credit hours: 1 Contact hours: Lecture: 1

Levels: Undergraduate Schedule types: Lecture Department/School: Statistics

STAT 4193 SAS and R Programming Prerequisites: STAT 4013 or equivalent.

Description: SAS and R dataset construction, elementary statistical analysis, and use of statistics and graphics with SAS and R. Students are required to complete the SAS Certified Base Programmer exam. Exam content, fees, and discount information is available at https:// www.sas.com/en_us/certification.html#. May not be used for degree credit with STAT 4091, STAT 4191, STAT 5091, STAT 5191, STAT 5193. Credit hours: 3 Contact hours: Lecture: 3

Levels: Undergraduate Schedule types: Lecture Department/School: Statistics STAT 4203 Mathematical Statistics I Prerequisites: MATH 2163 with a grade of "C" or better.

Description: Introduction to probability theory for students who are not graduate majors in statistics or mathematics. Probability, dependence and independence, random variables, univariate distributions, multivariate distributions, moments, functions of random variables, moment generating functions. Credit hours: 3 Contact hours: Lecture: 3 Levels: Graduate, Undergraduate Schedule types: Lecture Department/School: Statistics STAT 4213 Mathematical Statistics II Prerequisites: STAT 4203 and MATH 3013. Description: Statistical inference for students who are not graduate majors in statistics or mathematics. Sampling distributions, maximum likelihood methods, point and interval estimation, hypothesis testing. Credit hours: 3 Contact hours: Lecture: 3 Levels: Graduate, Undergraduate Schedule types: Lecture

Levels: Undergraduate Schedule types: Lecture

Department/School: Statistics STAT 4463 Multivariate Methods Prerequisites: STAT 4043 and (STAT 4023 or STAT 5023).

Department/School: Statistics STAT 4091 Sas Programming Prerequisites: STAT 4013 or equivalent.

Description: Use of Hotelling's T-squared statistic, multivariate analysis of variance, canonical correlation, principal components, factor analysis and linear discriminate functions. No credit for students with credit in STAT 5063. Credit hours: 3 Contact hours: Lecture: 3

Description: SAS dataset construction, elementary statistical analysis, and use of statistics and graphics procedures available in SAS. No credit for students with credit in STAT 5091. Credit hours: 1 Contact hours: Lecture: 1

Levels: Undergraduate Schedule types: Lecture Department/School: Statistics