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General Information Today's Tutoring Tutoring Schedule Tutoring by Topic Q Courses Q Departments Become a Tutor For Students F.A.Q. Tutoring Options Workshops Private Tutors Online Resources Study Groups For Instructors Tutor Talk Request Services Research Miscellaneous Advisory Board Archives UConn Links	Q Courses This page is a list of all the Q courses offered at UConn by the Department of Statistics. For more general information, consider the following: We keep a list of all current Q courses and the departments that offer them. We are able to provide support for most of these courses. The latest official status of a Q course is on the last page of a list of General Education courses. The official description of any course can be found in the undergraduate catalog. Statistics   STAT 1000Q (formerly STAT 100Q): Introduction to Statistics Link: Google Search Description: A standard approach to statistical analysis primarily for students of business and economics; elementary probability, sampling distributions, normal theory estimation and hypothesis testing, regression and correlation, exploratory data analysis. Learning to do statistical analysis on a personal computer is an integral part of the course. Offered: Spring, Fall Credits: 4 Q Center Tutoring Available: Yes Comments: Used to be STAT 100QC STAT 1100Q (formerly STAT 110Q): Elementary Concepts of Statistics Link: Google Search Description: Standard and nonparametric approaches to statistical analysis; exploratory data analysis, elementary probability, sampling distributions, estimation and hypothesis testing, one- and two-sample procedures, regression and correlation. Learning to do statistical analysis on a personal computer is an integral part of the course. Offered: Spring, Fall Credits: 4 Q Center Tutoring Available: Yes Comments: Used to be STAT 110QC STAT 2215Q (formerly STAT 201Q): Introduction to statistics I Link: Google Search Description: Analysis of variance, multiple regression, chi-square tests, and non-parametric procedures. Offered: Spring, Fall Credits: 3 Q Center Tutoring Available: Sometimes STAT 3025Q (formerly STAT 220Q): Statistical Methods (Calculus Level) Link: Google Search Description: Basic probability distributions, point and interval estimation, tests of hypotheses, correlation and regression, analysis of variance, experimental design, non-parametric procedures. Offered: Spring, Fall Credits: 3 Q Center Tutoring Available: Sometimes STAT 3115Q (formerly STAT 242Q): Analysis of Experiments Link: Google Search Description: Straight-line regression, multiple regression, regression diagnostics, transformations, dummy variables, one-way and two-way analysis of variance, analysis of covariance, stepwise regression. Offered: Spring, Fall Credits: 3 Q Center Tutoring Available: Sometimes STAT 3345Q (formerly STAT 224Q): Probability Models for Engineers Link: Google Search Description: Probability set functions, random variables, expectations, moment generating functions, discrete and continuous random variables, joint and conditional distributions, multinomial distribution, bivariate normal distribution, functions of random variables, central limit theorems, computer simulation of probability models. Offered: Spring, Fall Credits: 3 Q Center Tutoring Available: Sometimes STAT 3375Q (formerly STAT 230Q): Introduction to Mathematical Statistics Link: Google Search Description: The mathematical theory underlying statistical methods. Probability spaces, distributions in one and several dimensions, generating functions, limit theorems, sampling, parameter estimation. Neyman-Pearson theory of hypothesis testing, correlation, regression, analysis of variance. Offered: Spring, Fall Credits: 3 Q Center Tutoring Available: Sometimes STAT 3515Q (formerly STAT 243Q): Design of Experiments Link: Google Search Description: Methods of designing experiments utilizing regression analysis and the analysis of variance. Offered: Spring, Fall Credits: 3 Q Center Tutoring Available: Sometimes STAT 3675Q (formerly STAT 261Q): Statistical Computing Link: Google Search Description: Introduction to computing for statistical problems; obtaining features of distributions, fitting models and implementing inference (obtaining confidence intervals and running hypothesis tests); simulation-based approaches and basic numerical methods. One hour per week devoted to computing and programming skills. Offered: Spring Credits: 4 Q Center Tutoring Available: Sometimes Comments: Used to be STAT 261QC STAT 4625Q (formerly STAT 272Q): Introduction to Biostatistics Link: Google Search Description: Either semester. Three credits. Prerequisite: STAT 220 or an applied statistics course along with either STAT 230 or MATH 231 or instructor consent. Offered: Spring, Fall Credits: 3 Q Center Tutoring Available: Sometimes
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