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Academic Catalog 2025-26

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Your search for courses · during 25FA, 26WI, 26SP · taught by aluby · returned 8 results

  • STAT 120 Introduction to Statistics 6 credits

    Introduction to statistics and data analysis. Practical aspects of statistics will be emphasized, including extensive use of programming in the statistical software R, interpretation and communication of results. Topics include: exploratory data analysis, correlation and linear regression, design of experiments, the normal distribution, randomization approach to inference, sampling distributions, estimation, and hypothesis testing. Students who have taken Mathematics 211 are encouraged to consider the more advanced Mathematics 240/Statistics 250 Probability/Statistical Inference sequence.

    Not open to students who have already received credit for Psychology 200/201, Sociology/Anthropology 239 or Statistics 250

    • Fall 2025, Spring 2026
    • FSR, Formal or Statistical Reasoning QRE, Quantitative Reasoning
    • Not open to students that have taken PSYC 200 , PSYC 201, SOAN 239 or STAT 250.

    • CL: 100 level DGAH Skill Building ENTS Quantitative Methods SDSC Core Statistics
    • STAT  120.03 Fall 2025

    • Faculty:Amanda Luby 🏫 πŸ‘€
    • Size:32
    • M, WCMC 102 1:50pm-3:00pm
    • FCMC 102 2:20pm-3:20pm
    • STAT  120.02 Spring 2026

    • Faculty:Amanda Luby 🏫 πŸ‘€
    • Size:32
    • M, WCMC 102 11:10am-12:20pm
    • FCMC 102 12:00pm-1:00pm
    • Not open to students who have already received credit for Psychology 200/201, Sociology/Anthropology 239 or Statistics 250

      Sophomore Priority

  • STAT 220 Introduction to Data Science 6 credits

    This course will cover the computational side of data analysis, including data acquisition, management, and visualization tools. Topics may include: data scraping, data wrangling,Β data visualization using packages such as ggplots, interactive graphics using tools such as Shiny, an introduction to classification methods, and understanding and visualizing spatial data. We will use the statistics software R in this course.

    • Winter 2026
    • FSR, Formal or Statistical Reasoning QRE, Quantitative Reasoning
    • Student has completed any of the following course(s): STAT 120 or STAT 230, or STAT 250 with a grade of C- or better.

    • CL: 200 level DGAH Skill Building SDSC Core Statistics STAT Elective
    • STAT  220.01 Winter 2026

    • Faculty:Amanda Luby 🏫 πŸ‘€
    • Size:30
    • M, WCMC 306 11:10am-12:20pm
    • FCMC 306 12:00pm-1:00pm
  • STAT 230 Applied Regression Analysis 6 credits

    A second course in statistics covering simple linear regression, multiple regression and ANOVA, and logistic regression. Exploratory graphical methods, model building and model checking techniques will be emphasized with extensive use of statistical software R to analyze real-life data.

    Sophomore Priority section is available

    • Spring 2026
    • FSR, Formal or Statistical Reasoning QRE, Quantitative Reasoning
    • Student has completed any of the following course(s): STAT 120 or STAT 250 or PSYC 200 or SOAN 239 with a grade of C- or better or received a score of 4 or better on the Statistics AP exam.

    • CL: 200 level ENTS Quantitative Methods SDSC Core Statistics STAT Core
    • STAT  230.02 Spring 2026

    • Faculty:Amanda Luby 🏫 πŸ‘€
    • Size:28
    • M, WCMC 306 1:50pm-3:00pm
    • FCMC 306 2:20pm-3:20pm
    • Sophomore Priority

  • STAT 294 Directed Research in Statistics 1 – 6 credits

    Students work on a research project related to a faculty member's research interests, and directed by that faculty member. Student activities vary according to the field and stage of the project. The long-run goal of these projects normally includes dissemination to a scholarly community beyond Carleton. The faculty member will meet regularly with the student and actively direct the work of the student, who will submit an end-of-term product, typically a paper or presentation.

    Register for this course by submitting the Directed Research form which requires approval from the project faculty supervisor and your adviser.

    • Fall 2025, Winter 2026, Spring 2026
    • No Exploration
    • CL: Faculty Research
    • STAT  294.11 Fall 2025

    • Faculty:Amanda Luby 🏫 πŸ‘€
    • Grading:S/CR/NC
  • STAT 340 Bayesian Statistics 6 credits

    The Bayesian approach to statistics provides a powerful framework for incorporating prior knowledge into statistical analyses, updating this knowledge with data, and quantifying uncertainty in results. This course serves as a comprehensive introduction to Bayesian statistical inference and modeling, an alternative to the frequentist approach to statistics covered in previous classes. Topics include: Bayes’ Theorem; prior and posterior distributions; Bayesian regression; hierarchical models; and model adequacy and posterior predictive checks. Computational techniques will also be covered, including Markov Chain Monte Carlo methods, and modern Bayesian modeling packages in R.

    • Fall 2025
    • FSR, Formal or Statistical Reasoning QRE, Quantitative Reasoning
    • Student has completed any of the following course(s): STAT 230 and STAT 250 with a grade of C- or better.

    • CL: 300 level MATH Electives SDSC Math Stats Elective STAT Elective MATH Applied Mathematics
    • STAT  340.01 Fall 2025

    • Faculty:Amanda Luby 🏫 πŸ‘€
    • Size:20
    • M, WCMC 306 11:10am-12:20pm
    • FCMC 306 12:00pm-1:00pm
  • STAT 394 Directed Research in Statistics 1 – 6 credits

    Students work on a research project related to a faculty member's research interests, and directed by that faculty member. Student activities vary according to the field and stage of the project. The long-run goal of these projects normally includes dissemination to a scholarly community beyond Carleton. The faculty member will meet regularly with the student and actively direct the work of the student, who will submit an end-of-term product, typically a paper or presentation.

    Register for this course by submitting the Directed Research form which requires approval from the project faculty supervisor and your adviser.

    • Fall 2025, Winter 2026, Spring 2026
    • No Exploration
    • CL: Faculty Research
    • STAT  394.11 Fall 2025

    • Faculty:Amanda Luby 🏫 πŸ‘€
    • Grading:S/CR/NC
  • STAT 399 Senior Seminar 6 credits

    As part of their senior capstone experience, majors will work together in teams to develop advanced knowledge in a faculty-specified area or application of statistics, and to design and implement the first stage of a project completed the following term.

    • Winter 2026
    • No Exploration
    • Students have completed any of the following course(s): STAT 230 AND STAT 250 with a grade of C- or better AND is a Statistics major AND has Senior Priority.

    • STAT  399.01 Winter 2026

    • Faculty:Amanda Luby 🏫 πŸ‘€
    • Size:8
    • Grading:S/CR/NC
    • T, THCMC 328 1:15pm-3:00pm
    • This section is for the STAT Comps Group Project: STAT 399 (6 credits), then STAT 400 (3 credits).

  • STAT 400 Integrative Exercise 3 – 6 credits

    A supervised group project. Required of all senior majors.

    • Spring 2026
    • No Exploration
    • Student is a Statistics major AND has Senior Priority.

    • STAT  400.01 Spring 2026

    • Faculty:Amanda Luby 🏫 πŸ‘€
    • Size:8
    • Grading:S/NC
    • Credits:3
    • This section is for the STAT Comps Group Project: STAT 399 (6 credits), then STAT 400 (3 credits).

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2025–26 Academic Catalog

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Registrar: Theresa Rodriguez
Email: registrar@carleton.edu
Phone: 507-222-4094
Academic Catalog 2025-26 pages maintained by Maria Reverman
This page was last updated on 10 September 2025
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