Oklahoma State University

753

Statistics (STAT) STAT 2013 Elementary Statistics (A)

STAT 2890 Honors Experience in Statistics Prerequisites: Honors Program participation and concurrent enrollment in a designated STAT course. Description: A supplemental Honors experience in statistics to partner concurrently with designated statistics courses. This course adds a different intellectual dimension to the designated courses. Credit hours: 1 Contact hours: Lecture: 1 Levels: Undergraduate Schedule types: Lecture Department/School: Statistics General Education and other Course Attributes: Honors Credit STAT 3013 Intermediate Statistical Analysis Prerequisites: STAT 2013, STAT 2023 or STAT 2053. Description: Applications of elementary statistics, introductory experimental design, introduction to the analysis of variance, simple and multiple linear regression, nonparametric statistics, survey sampling and time series. Data analysis using Excel included. Credit hours: 3 Contact hours: Lecture: 3 Levels: Undergraduate Schedule types: Lecture Department/School: Statistics STAT 4013 Statistical Methods I (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 and correlation, analysis of variance for data that are in a one way, a two-way crossed, or in a two-fold nested classification. May not be used for degree credit with STAT 4053. 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 4023 Statistical Methods II 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 regression in estimation and curvilinear regression, enumeration data. No degree credit for students with credit in 4063. Credit hours: 3 Contact hours: Lecture: 3

Prerequisites: MATH 1483 or MATH 1513, each with a grade of "C" or better; or an acceptable placement score (see placement.okstate.edu). Description: An introductory course in the theory and methods of statistics. Descriptive measures, elementary probability, sampling, estimation, hypothesis testing, correlation and regression. No degree credit for students with credit in STAT 2023 or STAT 2053. 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 2023 Elementary Statistics for Business and Economics (A) Prerequisites: MATH 1483 or MATH 1513, each with a grade of "C" or better; or an acceptable placement score (see placement.okstate.edu). Description: Basic statistics course for undergraduate business majors. Descriptive statistics, basic probability, discrete and continuous distributions, point and interval estimation, hypothesis testing, correlation and simple linear regression. No degree credit for students with credit in STAT 2013 or STAT 2053. 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 2053 Elementary Statistics for the Social Sciences (A) Prerequisites: MATH 1483 or MATH 1513, each with a grade of "C" or better; or an acceptable placement score (see placement.okstate.edu). Description: No credit for business majors. An introductory course in the theory and methods of statistics. Descriptive measures, elementary probability, sampling, estimation, hypothesis testing, correlation and regression. No degree credit for students with credit in STAT 2013 or 2023. 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 2331 SAS Programming Prerequisites: A different programming language or consent of instructor. Description: SAS as a general purpose programming language, data representation, input/output, use of built-in procedures, report generation. Course previously offered as CS 2331. Credit hours: 1 Contact hours: Lecture: 1

Levels: Undergraduate Schedule types: Lecture Department/School: Statistics STAT 4033 Engineering Statistics Prerequisites: MATH 2133 or MATH 2163.

Description: Probability, random variables, probability distributions, estimation, confidence intervals, hypothesis testing, linear regression. No degree credit for students with credit in STAT 4073. Credit hours: 3 Contact hours: Lecture: 3

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