6 courses with the subject STAT, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
techniques of statistical inference including probability distributions, descriptive statistics, confidence intervals, hypothesis testing, and parametric and nonparametric hypothesis testing. Students may only receive credit for either Statistics 131 or Psychology 201. Three hours.
Statistical Methods I and covers techniques for creating effective predictive models. Topics include simple regression models, multiple regression models, model building, model analysis, time series and forecasting, and experimental design. Students will learn the basics of statistical software and begin to understand some concepts behind machine learning.
mathematical statistics, including counting techniques; probability spaces; independence; conditional probability; distributions of discrete and continuous random variables; expected values, moments and moment-generating functions; random vectors and their distributions. A computer algebra system is used. Students will not be permitted to receive credit for all three of Mathematics 214, 222, and Statistics 331. Corequisite: Mathematics 261 or permission of instructor. Fall semester, three hours.
statistics including transformations of random variables and vectors; sampling distributions; the Central Limit Theorem; properties of point estimates of parameters; maximum- likelihood estimates; confidence intervals; hypothesis testing; contingency tables; simple and linear regression; and one-way analysis of variance. Statistical software and a computer algebra system are used. Prerequisite: Statistics 331. Spring semester, three hours.
fundamentals of research approaches and methods of statistical sciences. The course will explore the entire research task including problem definition, literature review, experimental design, data collection, analysis, and communication of conclusion. This course will have the opportunity to culminate in basic research posters and presentations for local and/or national conferences. This course is designated Writing Intensive (WI), Speaking Intensive (SI), and Information Literacy (IL). Prerequisite: Statistics 132. Fall semester, three hours.
how to conduct non-linear analysis. Optimization techniques will focus on non-integer as well as integer programming problems. Stochastic modeling techniques will be presented by way of coding systems of non-normal distributions. Queueing theory will also be studied. Students will have the opportunity to code basic simulations. Prerequisite: Statistics 331. Spring semester, three hours.
Source: Grove City College's catalog, linked per course · table learning_unit · CourseShelf publish 59
