18 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.
STAT 140QStatistical Reasoning
A study of the role of statistics in a wide variety of academic fields and in everyday life. This course is intended for students who want an appreciation of statistics, but do not imagine that they will ever need to carry out statistical analyses themselves. Emphasis is placed on the ability to interpret and critically evaluate statistical claims. Offered both semesters. Three hours per week. Four semester hours (R.) . Note: This course cannot be counted toward a major or a minor in mathematics, a minor in statistics, or a minor in biostatistics. It is not a prerequisite for any other course. It cannot be taken for credit after or concurrently with any other statistics course, including AP Statistics.
A study of the fundamental concepts of statistical analysis using a simulation based approach in addition to the traditional theory based approach. This course prepares students to carry out basic descriptive and inferential statistical analyses with the aid of computer software. Topics include an introduction to the nature of statistical reasoning, graphical and descriptive statistics, and design of experiments, sampling methods, probability, probability distributions, sampling distributions, and statistical inference based on confidence intervals and hypothe Note: This course cannot be counted toward a major or a minor in mathematics. It cannot be taken for credit after or concurrently with any other statistics course, including AP Statistics.
Introduction to the use of computer program R to implement basic statistical techniques. Topics include: graphics, correlation, t-tests, significance testing for proportions and regression. Students pursuing a statistics major or minor should take this concurrently with STAT-141Q. Offered every semester. One hour per week. One semester hour. STAT/DATA-150. R for Data Science A hands-on study of the statistical programming language R for liberal arts students. This course prepares students to collect, manipulate, analyze, and visualize real-world data using R with a focus on data science applications. A final project will consist of analyzing and visualizing CIE readings statistically. Key R packages to use include (and will not be limited to) base, readr, readxl, stringr, knitr, dplyr, dbplyr, lubridate, ggplot2, tidytext, mlr3, caret, rmarkdown, data-table, and the tidyverse suite. Examples will be drawn from various disciplines
Statistical analysis using statistical software. Design, collection, organization, and storage of data sets. Statistical programming, debugging, analysis of output and interpretation of results. Prerequisite: MATH/STAT-141Q. Offered in the spring semester. Four hours per week. Four semester hours. Note: STAT-240 does not fulfill the College Core Mathematics requirement.
A continued study of basic statistical techniques. Topics include: regression analysis, chi-square tests, nonparametric statistics, and the use of statistical software for data analysis. Prerequisite: STAT-142 and STAT-141Q or MATH-442. Offered in the spring semester. Four hours per week. Four semester hours. Note: Students may not receive credit for both STAT-242W and STAT-243W
A study of inferential statistical techniques appropriate to the biological sciences. This course employs a case-study approach in which students use statistical software to examine real world data. Students will be required to produce statistical reports summarizing their statistical methods and results. Prerequisites: STAT-141Q and STAT-142. Offered in the fall semester. Four hours per week. Four semester hours. (R.) Note: Students may not receive credit for both STAT-242W and STAT-243W.
A study of the tools and processes for dealing with uncertainty. Topics include the use of prior belief in decision making, updating belief based on evidence, and some of the different methodologies for analyzing data to achieve these aims. Prerequisite: None. Offered in the Spring semester. Three hours per week. Four semester hours.
A study of regression models. This course will begin by reviewing simple linear regression and progress to more general modeling approaches including multiple regression models and generalized linear models. Models, inferences, diagnostics, and remedial measures for dealing with invalid assumptions will be examined. Prerequisites: STAT-242W or 243W or ECON-300Q or permission of instructor. Offered in the spring semester of even years. Three hours per week. Four semester hours.
MATH-442 STAT-443W At least two of the following: MATH-311, MATH/STAT-343, STAT- 244, STAT-444, CS-377, CS-477, ECON-300Q Internships (STAT-381, 382) and one-credit and two-credit research/independent work courses (STAT-391-392) do not fulfill any requirements for the major. Statistics majors can fulfill the requirement for an oral presentation in the major by taking STAT-350, CS-350, or MATH-350 and the capstone requirement by taking STAT-443W. While STAT-394 always fulfills the XLP requirement for the college, STAT-394 may satisfy an elective requirement for the major only with prior permission of the department chair. Requirements for Minors in Statistics A minor concentration in statistics consists of: STAT-141Q, 142, 240 STAT-242W or 243W Two additional courses selected from among MATH-341, 442; DATA/STAT-150, STAT-244, 342, 343, 382, 441, 451; or 4 credit hours of independent study/research consisting of any combination of STAT-391, 392, and 394. Requirements for Minors in Biostatistics A minor concentration in biostatistics consists of One course in an area of application selected from among BIO-101Q, 102Q; PSYC-100; HS-100; or ENVS-100 STAT-141Q, 142, 240, 243W one course selected from among STAT-342, 384, or 441.
An academic/work experience related to statistics conducted under the supervision of an internship adviser and an on-site supervisor. Students must document their experience according to the requirements delineated in the College catalogue section on Internships. An oral presentation to the department is required. Contact the chair of the department for further details. Open to juniors and seniors. The term during which the internship work is performed will be noted by one of the following letters, to be added immediately after the internship course number: A
An academic/work experience related to statistics conducted under the supervision of an internship adviser and an on-site supervisor. Students must document their experience according to the requirements delineated in the College catalogue section on Internships. An oral presentation to the department is required. Contact the chair of the department for further details. Open to juniors and seniors. The term during which the internship work is performed will be noted by one of the following letters, to be added immediately after the internship course number: A
Independent investigation of an area of statistics not covered in regular courses. Prerequisite: Written consent of a department faculty member. Graded S/U. Two semester hours. Note: This course may be taken more than once.
Independent investigation of an area of statistics not covered in regular courses. An oral presentation to the department is required. Prerequisite: Written consent of a department faculty member. Four semester hours. (XLP.) Note: This course may be taken more than once. This course always fulfills the ILE requirement for the college, but may satisfy an elective requirement for the major only with prior permission of the department chair.
STAT 441WApplied Research Seminar in Biostatistics
A study of current problems in biostatistics. The course will introduce students to fundamental research procedures and data analysis. Students will work independently on a research problem of their choosing. Each student will be required to present on their progress throughout the semester and produce a culminating statistical report on their project. Students should expect to spend at least 12 hours per week working on their research project. Prerequisites: MATH/STAT-242 or MATH/STAT-243W and written permission of a department faculty member required. Four s
This course will delve into the mathematical and theoretical underpinnings of linear regression, Analysis of Variance (ANOVA), non-parametric statistics and Bayesian methods for statistical inference. This course will satisfy the college requirement for a capstone experience in the major. Prerequisite: MATH 235 and MATH 442 or permission of the instructor. Offered in the fall semester. Three hours per week. Four semester hours.
The aim of this course is for students to gain practical experience in the application of statistical methods to real data, as well as how to engage with collaborators in a professional setting. Prerequisite: STAT 342 or permission of the instructor. Three hours per week. Four semester hours. (XLP, if approved).
A course designed to acquaint students with advanced topics in statistics and its applications. The course will be adapted to students’ preference and needs. Prerequisite: Permission of the instructor. Three hours per week. Four semester hours. (R.) Mathematics and Computer Science Department -->
